Dear all,
we are looking for bright and motivated students on computer vision and machine learning topics.
This year we are focusing on different aspects of motion analysis and action recognition.
A detailed list of topics can be found here http://phd.dibris.unige.it/csse/index.php/how-to-apply/research-projects
Below the official call with details on the application procedure. Do not hesitate to contact me should you have any question
Francesca
____________________________________________________________________________
Open Positions in the PhD Program in Computer Science and Systems Engineering
The PhD Program in Computer Science and Systems Engineering of the Dept. of Informatics, Bioengineering, Robotics,
and Systems Engineering of the University of Genova (Italy) offers 11 three-years grants in the following areas:
- 5 grants in Computer Science
- 3 grants funded by the Bruno Kessler Research Foundation
- 2 grants in Systems Engineering
- 1 grant funded by the CIMA Research Foundation
Each grant amounts at 15.343,28 euros per year with 50% increment for research visits abroad.
Three additional positions without grant are also offered.
Specific research projects and application instructions are available in the program website:
http://phd.dibris.unige.it/csse
The deadline for applications is June 12, 2018 at 12:00 am.
The PhD program conforms to a high-quality international standard, offering the PhD students a rich schedule of schools, courses, and seminars.
Students are hosted in a culturally diverse and lively environment and may benefit from connections with national and international research centers.
✔️ @ApplyTime
we are looking for bright and motivated students on computer vision and machine learning topics.
This year we are focusing on different aspects of motion analysis and action recognition.
A detailed list of topics can be found here http://phd.dibris.unige.it/csse/index.php/how-to-apply/research-projects
Below the official call with details on the application procedure. Do not hesitate to contact me should you have any question
Francesca
____________________________________________________________________________
Open Positions in the PhD Program in Computer Science and Systems Engineering
The PhD Program in Computer Science and Systems Engineering of the Dept. of Informatics, Bioengineering, Robotics,
and Systems Engineering of the University of Genova (Italy) offers 11 three-years grants in the following areas:
- 5 grants in Computer Science
- 3 grants funded by the Bruno Kessler Research Foundation
- 2 grants in Systems Engineering
- 1 grant funded by the CIMA Research Foundation
Each grant amounts at 15.343,28 euros per year with 50% increment for research visits abroad.
Three additional positions without grant are also offered.
Specific research projects and application instructions are available in the program website:
http://phd.dibris.unige.it/csse
The deadline for applications is June 12, 2018 at 12:00 am.
The PhD program conforms to a high-quality international standard, offering the PhD students a rich schedule of schools, courses, and seminars.
Students are hosted in a culturally diverse and lively environment and may benefit from connections with national and international research centers.
✔️ @ApplyTime
به بهانهی روز بزرگ داشت فردوسی:
نظر میرجلال الدین کزازی، استاد بزرگ ادب پارسی در مورد بی همتای ادبیات پارسی، فردوسی.
میرجلالالدین کزازی در تازه ترین سخنان خود با اشاره به یکم بهمن ماه گفت: به درستی نمی دانم که چرا این روز زادروز فردوسی شمرده شده است اما در آن چند و چون و مگر هست. این زمینه ای است ادبی و تاریخی که همواره باید بدان اندیشید و در آن کاوید اما از این دید که روزی را ما روز فردوسی بشماریم و آن روز را گرامی بداریم ، این زمینه چندان ارجی نمی تواند داشت. این شاهنامه پژوه و استاد زبان و ادب فارسی همچنین افزود : مشخص نبودن زادروز فردوسی بهانه ای بهینه در بیش اندیشیدن و پرداختن به فردوسی و شاهنامه او خواهد بود. از نگاهی بسیار فراخ، هر روز که ما در آن به ابرمرد فرهنگ و ادب ایران بیندیشیم و به شاهکار ورجامند و بی مانند او، آن روز ، خجسته روز فردوسی و شاهنامه خواهد بود. این شاهنامهپژوه و پژوهشگر برجسته ایرانی در زمینه اهمیت و جایگاه فردوسی در ادبیات ایران در گفت وگو با خبرنگار ایرنا گفت: فردوسی سخنوری است که او را نمی توان از دید کارکرد بنیادین و نهادین گسترده و ژرفی که بر فرهنگ و منش ایرانی نهاده است با هیچ سخنور دیگری سنجید و برابر نهاد.
این چهره ماندگار فرهنگ و ادب ایران افزود: فردوسی شاهکاری جاودانه و بی مانند را پدید آورده که تنها یک شاهکار ادبی نیست، از بعدی شاهکاری ادبی است اما شالوده آنچه من آن را ناخودآگاهی تباری می نامم با این پدیده شگرف و شگفت ادبی و فرهنگی در ایران نو، ایران پس از اسلام ریخته شده است.
میرجلال الدین کزازی ادامه داد: به گونه ای می توانیم بیانگاریم که اگر فردوسی در یکی از باریک ترین و دشوارترین روزگاران در تاریخ این سرزمین کهن سر بر نمی آورد و شاهنامه را نمی سرود ما ایرانیان اکنون خود را ایرانی نمی دانستیم و به زبان دلاویز و شورانگیز فارسی با یکدیگر سخن نمی گفتیم. بر همین پایه است که من شاهنامه را نامه فرهنگ و منش ایرانی می نامم. به گفته وی فردوسی نه تنها در فرهنگ و ادب ایران بی همتاست بلکه در ادب و فرهنگ جهان هم براستی نمی توان سخنوری را همتا و همبالای او نشان داد، برای نمونه هومر سخنسرای یونانی یا ویرژیل سخنسرای روم را که برترین رزمنامه سرایان اروپایی اند نمی توان با فردوسی در یک تراز و ترازو نهاد.
این پژوهشگر برجسته ایرانی افزود: هنوز نیز فردوسی نزد ایرانیان شناخته ترین سخنور و شاهنامه شناخته ترین شاهکار ادبی است. اگر آماری بگیریم در این زمینه بی گمان فردوسی و به همان سان شاهنامه در فراز این آمار جای خواهند گرفت.
میرجلال الدین کزازی گفت: تنها سخنوری که در شناختگی با فردوسی سنجیده می تواند شد و دیوان او با شاهنامه قابل قیاس است، حافظ می باشد. این استاد دانشگاه خاطر نشان کرد: ما در روزگار گذار اجتماعی و فرهنگی هستیم و در روزگار گذار به ناچار نابهنجاری، سرگشتگی، دروایی (تعلق) و پادرهوایی فرهنگی و اندیشه ای و روانی پدید می آید. وی اذعان داشت: ایرانیان هنگامی که روزگار گذار را به پایان بیاورند به خویشتن باز می گردند و خود را به شایستگی شناخته و انگیخته تر، جان افروخته تر و با شور و شرار و تب و تابی افزون تر چنگ به دامان فردوسی و شاهنامه درخواهند زد، زیرا می دانند که برای ایرانی بودن و ایرانی ماندن از این دو بیشترین ، مایه ورترین و پایه ورترین بهره را می توانند برد.
به نقل از وبسایت شاهنامه پژوهان (اسفند ۷, ۱۳۹۶)
بر همهی ما ایرانیان، داشتن فردوسی بزرگ گرامی باد!!!
✔️ @ApplyTime
نظر میرجلال الدین کزازی، استاد بزرگ ادب پارسی در مورد بی همتای ادبیات پارسی، فردوسی.
میرجلالالدین کزازی در تازه ترین سخنان خود با اشاره به یکم بهمن ماه گفت: به درستی نمی دانم که چرا این روز زادروز فردوسی شمرده شده است اما در آن چند و چون و مگر هست. این زمینه ای است ادبی و تاریخی که همواره باید بدان اندیشید و در آن کاوید اما از این دید که روزی را ما روز فردوسی بشماریم و آن روز را گرامی بداریم ، این زمینه چندان ارجی نمی تواند داشت. این شاهنامه پژوه و استاد زبان و ادب فارسی همچنین افزود : مشخص نبودن زادروز فردوسی بهانه ای بهینه در بیش اندیشیدن و پرداختن به فردوسی و شاهنامه او خواهد بود. از نگاهی بسیار فراخ، هر روز که ما در آن به ابرمرد فرهنگ و ادب ایران بیندیشیم و به شاهکار ورجامند و بی مانند او، آن روز ، خجسته روز فردوسی و شاهنامه خواهد بود. این شاهنامهپژوه و پژوهشگر برجسته ایرانی در زمینه اهمیت و جایگاه فردوسی در ادبیات ایران در گفت وگو با خبرنگار ایرنا گفت: فردوسی سخنوری است که او را نمی توان از دید کارکرد بنیادین و نهادین گسترده و ژرفی که بر فرهنگ و منش ایرانی نهاده است با هیچ سخنور دیگری سنجید و برابر نهاد.
این چهره ماندگار فرهنگ و ادب ایران افزود: فردوسی شاهکاری جاودانه و بی مانند را پدید آورده که تنها یک شاهکار ادبی نیست، از بعدی شاهکاری ادبی است اما شالوده آنچه من آن را ناخودآگاهی تباری می نامم با این پدیده شگرف و شگفت ادبی و فرهنگی در ایران نو، ایران پس از اسلام ریخته شده است.
میرجلال الدین کزازی ادامه داد: به گونه ای می توانیم بیانگاریم که اگر فردوسی در یکی از باریک ترین و دشوارترین روزگاران در تاریخ این سرزمین کهن سر بر نمی آورد و شاهنامه را نمی سرود ما ایرانیان اکنون خود را ایرانی نمی دانستیم و به زبان دلاویز و شورانگیز فارسی با یکدیگر سخن نمی گفتیم. بر همین پایه است که من شاهنامه را نامه فرهنگ و منش ایرانی می نامم. به گفته وی فردوسی نه تنها در فرهنگ و ادب ایران بی همتاست بلکه در ادب و فرهنگ جهان هم براستی نمی توان سخنوری را همتا و همبالای او نشان داد، برای نمونه هومر سخنسرای یونانی یا ویرژیل سخنسرای روم را که برترین رزمنامه سرایان اروپایی اند نمی توان با فردوسی در یک تراز و ترازو نهاد.
این پژوهشگر برجسته ایرانی افزود: هنوز نیز فردوسی نزد ایرانیان شناخته ترین سخنور و شاهنامه شناخته ترین شاهکار ادبی است. اگر آماری بگیریم در این زمینه بی گمان فردوسی و به همان سان شاهنامه در فراز این آمار جای خواهند گرفت.
میرجلال الدین کزازی گفت: تنها سخنوری که در شناختگی با فردوسی سنجیده می تواند شد و دیوان او با شاهنامه قابل قیاس است، حافظ می باشد. این استاد دانشگاه خاطر نشان کرد: ما در روزگار گذار اجتماعی و فرهنگی هستیم و در روزگار گذار به ناچار نابهنجاری، سرگشتگی، دروایی (تعلق) و پادرهوایی فرهنگی و اندیشه ای و روانی پدید می آید. وی اذعان داشت: ایرانیان هنگامی که روزگار گذار را به پایان بیاورند به خویشتن باز می گردند و خود را به شایستگی شناخته و انگیخته تر، جان افروخته تر و با شور و شرار و تب و تابی افزون تر چنگ به دامان فردوسی و شاهنامه درخواهند زد، زیرا می دانند که برای ایرانی بودن و ایرانی ماندن از این دو بیشترین ، مایه ورترین و پایه ورترین بهره را می توانند برد.
به نقل از وبسایت شاهنامه پژوهان (اسفند ۷, ۱۳۹۶)
بر همهی ما ایرانیان، داشتن فردوسی بزرگ گرامی باد!!!
✔️ @ApplyTime
The Centre for Health Informatics, Computation and Statistics (CHICAS) at the Lancaster Medical School has an opportunity for a talented machine learning researcher or computational statistician to work on an Academy of Medical Science funded two-year research project into neurodegenerative diseases. As the successful applicant, you will help develop accurate prediction models for patient outcomes in Alzheimer’s disease, motor neuron disease and Parkinson’s disease, based on a combination of clinical, molecular and neuroimaging data.
The project is a collaboration with researchers at the Sheffield Institute for Translational Neuroscience (SITraN), the German Centre for Neurodegenerative Diseases (DZNE) and the Luxembourg Centre for Systems Biomedicine (LCSB). You will work on data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), the PRO-ACT motor neurone database, and the Parkinson’s Progression Markers Initiative (PPMI) study. The goal will be to use semi-supervised approaches to identify disease subtypes and predict clinical progression.
You will have regular interactions with clinical and medical science researchers to discuss ideas and validate findings. The research will lead to a better understanding of variable phenotypes underlying neurodegenerative diseases, as well as resulting in accurate machine learning methods for predicting cognitive and physical decline in patients.
CHICAS is a vibrant and diverse research group within the Lancaster Medical School, comprising researchers into epidemiology, machine learning, statistical genomics and spatial and longitudinal statistics. The group has close ties to both the School of Mathematics and Statistics, and the Lancaster Data Science Institute, both of which have a reputation for excellence in statistical and computational research.
Lancaster Medical School is at an exciting stage of its development having just been awarded its PMQ. Lancaster University is one of the top ten UK universities (The Complete University Guide 2018) and the Times University of the Year 2018.
Applications close Sunday 10 June 2018. Interviews will take place in June 2018.
Informal inquiries can be made to Dr Frank Dondelinger: f.dondelinger@lancaster.ac.uk
Applications can be submitted via the online system: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A2222-R
✔️ @ApplyTime
The project is a collaboration with researchers at the Sheffield Institute for Translational Neuroscience (SITraN), the German Centre for Neurodegenerative Diseases (DZNE) and the Luxembourg Centre for Systems Biomedicine (LCSB). You will work on data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), the PRO-ACT motor neurone database, and the Parkinson’s Progression Markers Initiative (PPMI) study. The goal will be to use semi-supervised approaches to identify disease subtypes and predict clinical progression.
You will have regular interactions with clinical and medical science researchers to discuss ideas and validate findings. The research will lead to a better understanding of variable phenotypes underlying neurodegenerative diseases, as well as resulting in accurate machine learning methods for predicting cognitive and physical decline in patients.
CHICAS is a vibrant and diverse research group within the Lancaster Medical School, comprising researchers into epidemiology, machine learning, statistical genomics and spatial and longitudinal statistics. The group has close ties to both the School of Mathematics and Statistics, and the Lancaster Data Science Institute, both of which have a reputation for excellence in statistical and computational research.
Lancaster Medical School is at an exciting stage of its development having just been awarded its PMQ. Lancaster University is one of the top ten UK universities (The Complete University Guide 2018) and the Times University of the Year 2018.
Applications close Sunday 10 June 2018. Interviews will take place in June 2018.
Informal inquiries can be made to Dr Frank Dondelinger: f.dondelinger@lancaster.ac.uk
Applications can be submitted via the online system: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A2222-R
✔️ @ApplyTime
University of Tartu hosts one of the top biobanks in Europe. The major goal is to implement the personalised (precision) medicine potential by delivering genetics and health data analytics based solutions to the health services. To achieve this goal one needs to utilise the health data to the highest standards. We are looking for a postdoc to work on health data from the national electronic health records and the biobank, mapping health data to common data models (OMOP), develop analytical software and apply machine learning/AI on the health data. Of particular interest are the individual level predictions based on one's health and demographic data, genetics, treatments and outcomes and future potential disease trajectory developments. The position focus can be tuned for the particular interests and strengths of the applicant.
The Institute of Computer Science at the University of Tartu is ranked joint first in Central and Eastern European universities according to the field-specific Times Higher Education Ranking 2017.
The successful candidate will conduct research in the field of health data analytics; prepare and implement research projects under the supervision of senior staff; supervise graduate and doctoral students.
Application deadline: June 4, 2018 or until position is filled
Starting at: Sept 1, 2018
Fixed-term contract until: Aug 31, 2021 with options to extend
Salary: Internationally competitive salary, approximately 30,000€ / year, depending on the candidate's qualification and the level of experience.
More details:
https://www.ut.ee/en/welcome/job-offer/research-fellow-health-data-analytics
More information:
Jaak Vilo, jaak.vilo@ut.ee
✔️ @ApplyTime
The Institute of Computer Science at the University of Tartu is ranked joint first in Central and Eastern European universities according to the field-specific Times Higher Education Ranking 2017.
The successful candidate will conduct research in the field of health data analytics; prepare and implement research projects under the supervision of senior staff; supervise graduate and doctoral students.
Application deadline: June 4, 2018 or until position is filled
Starting at: Sept 1, 2018
Fixed-term contract until: Aug 31, 2021 with options to extend
Salary: Internationally competitive salary, approximately 30,000€ / year, depending on the candidate's qualification and the level of experience.
More details:
https://www.ut.ee/en/welcome/job-offer/research-fellow-health-data-analytics
More information:
Jaak Vilo, jaak.vilo@ut.ee
✔️ @ApplyTime
Forwarded from Apply Time
Dear ...,
I am just sending you a quick reminder about our next deadline for the full-time MBA 2018 September intake which is coming up on the 1 June 2018 at midnight.
Please feel free to contact me if you have any open questions, or would like to receive further information. You can reach me at +41 78 974 55 52 or by responding to this email.
I look forward to receiving your application.
Kind regards,
Jonas
Jonas Revensburg
Head of Talent Acquisition
University of St.Gallen MBA
عزیزان علاقه مند به تحصیل ام.بی.ای در سوئیس با ما در ارتباط باشند.
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
I am just sending you a quick reminder about our next deadline for the full-time MBA 2018 September intake which is coming up on the 1 June 2018 at midnight.
Please feel free to contact me if you have any open questions, or would like to receive further information. You can reach me at +41 78 974 55 52 or by responding to this email.
I look forward to receiving your application.
Kind regards,
Jonas
Jonas Revensburg
Head of Talent Acquisition
University of St.Gallen MBA
عزیزان علاقه مند به تحصیل ام.بی.ای در سوئیس با ما در ارتباط باشند.
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
⚠️ قابل توجه عزیزانی که از طریق اپلایتایم در لاتاری 2019 شرکت کرده بودند:
◀️ همانطوری که مطلع هستید، نتایج لاتاری اعلام شده، و آنطور که وعده داده بودیم، چک کردن نتیجهی ثبتنام شما نیز توسط اپلایتایم انجام شده و به کسانی که برنده شدند، دیشب یا امروز اطلاع دادیم.
🔴 اما سایر عزیزان، اگر تا این لحظه از طرف اپلایتایم ایمیلی مبنی بر برنده شدن دریافت نکردید، بدان معناست که در لاتاری برنده نشدید.
با این وجود چنانچه مایل هستید که خودتان هم نتیجه را مشاهده نمایید، میتوانید از طریق تاییدهی ثبت نامی که در روزهای ثبتنام برای شما فرستادیم نتیجهی ثبتنام را از طریق لینک زیر بررسی نمایید.
https://www.dvlottery.state.gov/ESC/(S(3uiilgwlncvdjgz2rmgiqsol))/default.aspx
🔰 چنانچه به هر دلیلی در حال حاضر به تاییدهی ثبت نام دسترسی ندارید، به ما اطلاع دهید تا مجددا آن را برای شما ارسال نماییم.
🎾 اما عزیزان برنده که شرایط را میدانند چرا که با آن عزیزان طی دیشب و امروز ارتباط برقرار نمودیم.
🌸 با عرض تبریک مجدد خدمت عزیزانی که به قصد برنده شدن در لاتاری شرکت کرده، و برنده نیز شدهاند.
✔️ @ApplyTime
◀️ همانطوری که مطلع هستید، نتایج لاتاری اعلام شده، و آنطور که وعده داده بودیم، چک کردن نتیجهی ثبتنام شما نیز توسط اپلایتایم انجام شده و به کسانی که برنده شدند، دیشب یا امروز اطلاع دادیم.
🔴 اما سایر عزیزان، اگر تا این لحظه از طرف اپلایتایم ایمیلی مبنی بر برنده شدن دریافت نکردید، بدان معناست که در لاتاری برنده نشدید.
با این وجود چنانچه مایل هستید که خودتان هم نتیجه را مشاهده نمایید، میتوانید از طریق تاییدهی ثبت نامی که در روزهای ثبتنام برای شما فرستادیم نتیجهی ثبتنام را از طریق لینک زیر بررسی نمایید.
https://www.dvlottery.state.gov/ESC/(S(3uiilgwlncvdjgz2rmgiqsol))/default.aspx
🔰 چنانچه به هر دلیلی در حال حاضر به تاییدهی ثبت نام دسترسی ندارید، به ما اطلاع دهید تا مجددا آن را برای شما ارسال نماییم.
🎾 اما عزیزان برنده که شرایط را میدانند چرا که با آن عزیزان طی دیشب و امروز ارتباط برقرار نمودیم.
🌸 با عرض تبریک مجدد خدمت عزیزانی که به قصد برنده شدن در لاتاری شرکت کرده، و برنده نیز شدهاند.
✔️ @ApplyTime
Are you interested to use ML to discover how the brain builds mental models of the world to guide decision-making, and how we can use principles of neural information processing to build artificial dANNs with brain-like properties? Join our research team, which has made highly-visible progress in these domains:
https://elifesciences.org/articles/29793v1
https://ieeexplore.ieee.org/document/7727651/
We are particularly interested in how agents can use limited data in noisy and non-stationary environments to make robust decisions. We are focused on merging hierarchical internal representations and reinforcement learning for attention, feature extraction, few-shot learning, and model-based search for solving complex problems.
We seek excellent candidates with training in quantitative disciplines (CS, math, physics, engineering ...), and experience with fundamental ML concepts. Experience in neuroscience is not required, but an interest in brain function is strongly preferred. Must be able to work in a multidiciplinary team, including collaborating with experimentalists in the lab that are generating unique high-value data.
Please send a statement of interest, CV, and a copy of trannoscripts (unofficial is OK) to:
Aaron Gruber, PhD
Associate Professor, Department of Neuroscience
Associate Director, Canadian Center for Behavioural Neuroscience
gruber.laboratory@gmail.com
💎 با ما در ارتباط باشید تا شانس پذیرش شما را افزایش دهیم:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
https://elifesciences.org/articles/29793v1
https://ieeexplore.ieee.org/document/7727651/
We are particularly interested in how agents can use limited data in noisy and non-stationary environments to make robust decisions. We are focused on merging hierarchical internal representations and reinforcement learning for attention, feature extraction, few-shot learning, and model-based search for solving complex problems.
We seek excellent candidates with training in quantitative disciplines (CS, math, physics, engineering ...), and experience with fundamental ML concepts. Experience in neuroscience is not required, but an interest in brain function is strongly preferred. Must be able to work in a multidiciplinary team, including collaborating with experimentalists in the lab that are generating unique high-value data.
Please send a statement of interest, CV, and a copy of trannoscripts (unofficial is OK) to:
Aaron Gruber, PhD
Associate Professor, Department of Neuroscience
Associate Director, Canadian Center for Behavioural Neuroscience
gruber.laboratory@gmail.com
💎 با ما در ارتباط باشید تا شانس پذیرش شما را افزایش دهیم:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
One fully funded PhD position is available under the supervision of Rubén Moreno-Bote and Alexandre Hyafil in the group of Theoretical and Cognitive Neuroscience. The group is part of the Center for Brain and Cognition at the University Pompeu Fabra (UPF), Barcelona, Spain (https://www.upf.edu/web/ruben-moreno-bote).
The candidate will study theoretical models of decision-making and design and analysis human experiments to directly test these models. He/she could also be involved in the design and analysis of animal behavioral and multielectrode neural data.
Candidates should have Physics, Mathematics or Machine Learning background, ideally with knowledge of Neuroscience or Computational Neuroscience, and interested in theory and applications. We will also consider candidates with Psychology background interested in computational modeling.
The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience. Our lab forms part of a larger network of neuroscience labs in Barcelona (http://www.barcelonaneuroscience.com).
Candidates, please send a full CV and an extract of grades for degree and master studies to alexandre.hyafil@upf.edu and ruben.moreno@upf.edu. Deadline: until the position is filled. Starting date: any time between October 2018 and January 2019.
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🎭 Admin: @Dr_Apply
✔️ @ApplyTime
The candidate will study theoretical models of decision-making and design and analysis human experiments to directly test these models. He/she could also be involved in the design and analysis of animal behavioral and multielectrode neural data.
Candidates should have Physics, Mathematics or Machine Learning background, ideally with knowledge of Neuroscience or Computational Neuroscience, and interested in theory and applications. We will also consider candidates with Psychology background interested in computational modeling.
The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience. Our lab forms part of a larger network of neuroscience labs in Barcelona (http://www.barcelonaneuroscience.com).
Candidates, please send a full CV and an extract of grades for degree and master studies to alexandre.hyafil@upf.edu and ruben.moreno@upf.edu. Deadline: until the position is filled. Starting date: any time between October 2018 and January 2019.
💎 با ما در ارتباط باشید تا شانس پذیرش شما را افزایش دهیم:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
HBP School – The Brain Simulation Platform of the Human Brain Project
17-21 September 2018
Palermo, Italy
Application deadline: 11 July 2018
Further information and application:
https://education.humanbrainproject.eu/web/hbp-school-the-brain-simulation-platform/
This School will introduce participants to the Brain Simulation Platform (BSP) of the Human Brain Project (HBP), with the main aim to train users on how to exploit the possibilities offered by the Platform to implement cellular level computational models, to use High Performance Analytics and Computing Platform systems to configure and run a simulation, and to visualise/analyse the results. Both short lectures and longer afternoon activities will be delivered at a basic and intermediate level. Through tutorials and hands-on activities, attendees will learn how to interact with the BSP to carry out their own research, to set up and manage a data-driven collaborative project, or to use the BSP to interact with the HBP Neuroinformatics Platform. Participants will be encouraged to introduce new ideas and suggest ways to use their original experimental data/techniques to implement/use the multiscale neural model they would like to investigate.
Application is open to the entire student community and early career researchers, regardless of whether they are affiliated with the Human Brain Project or not. Applications from young female investigators are highly encouraged.
A maximum of 50 participants will be selected by the Scientific Chair and the HBP Education Programme in a competitive selection process based on academic merit. Participants are required to submit an abstract on their current research, a CV and a motivation letter with their application.
Applicants selected for participation will be informed within three weeks after the application deadline.
Participation fee: 400 €
The fee does not include travel and accommodation. Fees will be collected after participants have been selected.
We are looking forward to seeing you at the HBP School on the HBP Brain Simulation Platform in Palermo, Italy!
The HBP Education Programme Office team
Theresa Rass
HBP Education Programme
Project Manager - Targeted Engagement and Knowledge Transfer
Medical University Innsbruck
Müllerstraße 59, 6020 Innsbruck, Austria
Phone Office: +43 512 9003 71246
Mobile Phone: +43 676 871672246
Email: theres...@icloud.com
✔️ @ApplyTime
17-21 September 2018
Palermo, Italy
Application deadline: 11 July 2018
Further information and application:
https://education.humanbrainproject.eu/web/hbp-school-the-brain-simulation-platform/
This School will introduce participants to the Brain Simulation Platform (BSP) of the Human Brain Project (HBP), with the main aim to train users on how to exploit the possibilities offered by the Platform to implement cellular level computational models, to use High Performance Analytics and Computing Platform systems to configure and run a simulation, and to visualise/analyse the results. Both short lectures and longer afternoon activities will be delivered at a basic and intermediate level. Through tutorials and hands-on activities, attendees will learn how to interact with the BSP to carry out their own research, to set up and manage a data-driven collaborative project, or to use the BSP to interact with the HBP Neuroinformatics Platform. Participants will be encouraged to introduce new ideas and suggest ways to use their original experimental data/techniques to implement/use the multiscale neural model they would like to investigate.
Application is open to the entire student community and early career researchers, regardless of whether they are affiliated with the Human Brain Project or not. Applications from young female investigators are highly encouraged.
A maximum of 50 participants will be selected by the Scientific Chair and the HBP Education Programme in a competitive selection process based on academic merit. Participants are required to submit an abstract on their current research, a CV and a motivation letter with their application.
Applicants selected for participation will be informed within three weeks after the application deadline.
Participation fee: 400 €
The fee does not include travel and accommodation. Fees will be collected after participants have been selected.
We are looking forward to seeing you at the HBP School on the HBP Brain Simulation Platform in Palermo, Italy!
The HBP Education Programme Office team
Theresa Rass
HBP Education Programme
Project Manager - Targeted Engagement and Knowledge Transfer
Medical University Innsbruck
Müllerstraße 59, 6020 Innsbruck, Austria
Phone Office: +43 512 9003 71246
Mobile Phone: +43 676 871672246
Email: theres...@icloud.com
✔️ @ApplyTime
MSc program in Neuroscience - University of Freiburg, Germany
We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and the latest research in the field. It is taught by lecturers from an international scientific community from three faculties and two neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in computational neuroscience, neuro-/optophysiology, neurotechnology and genes,circuiots & behaviour. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science or engineering sciences. The deadline for applications for the October 2018 entry is the 30th of May 2018.
Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de
Please contact mscneuro@uni-freiburg,de for further questions.
With kind regards
Carsten Mehring
—
Bernstein Center Freiburg &
Faculty of Biology
University of Freiburg
💎 با ما در ارتباط باشید تا شانس پذیرش شما را افزایش دهیم:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and the latest research in the field. It is taught by lecturers from an international scientific community from three faculties and two neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in computational neuroscience, neuro-/optophysiology, neurotechnology and genes,circuiots & behaviour. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science or engineering sciences. The deadline for applications for the October 2018 entry is the 30th of May 2018.
Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de
Please contact mscneuro@uni-freiburg,de for further questions.
With kind regards
Carsten Mehring
—
Bernstein Center Freiburg &
Faculty of Biology
University of Freiburg
💎 با ما در ارتباط باشید تا شانس پذیرش شما را افزایش دهیم:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
The Maier Lab is looking for an enthusiastic postdoctoral researcher with a sincere interest in systems neuroscience and a strong background in extracellular electrophysiology to join our team in gaining fundamental insight into how the brain enables adaptive behavior. The position is funded by internal funds as well as an NIH R01 grant. Exact field of study is flexible within the constraints of the lab’s interests and available techniques/expertise.
Our research focuses on taste and smell as model systems to discover new ways of understanding the neural dynamics underlying multisensory integration, decision making and the development of cortical computation. We use a range of techniques including sophisticated behavioral analysis, multi-electrode recordings and optogenetics in freely moving rats at different stages of development.
The lab is hosted by the Department of Neurobiology & Anatomy at Wake Forest School of Medicine, a collegial and highly collaborative group with a strong interest in systems neuroscience, and renowned expertise in multisensory integration, sensory-motor integration, decision making, computational modeling and developmental neuroscience: http://www.wakehealth.edu/nba/facultyindex.htm
For more information, contact the PI, Joost X. Maier: https://www.sites.google.com/site/joostmaier/
💎 با ما در ارتباط باشید تا شانس پذیرش شما را افزایش دهیم:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
Our research focuses on taste and smell as model systems to discover new ways of understanding the neural dynamics underlying multisensory integration, decision making and the development of cortical computation. We use a range of techniques including sophisticated behavioral analysis, multi-electrode recordings and optogenetics in freely moving rats at different stages of development.
The lab is hosted by the Department of Neurobiology & Anatomy at Wake Forest School of Medicine, a collegial and highly collaborative group with a strong interest in systems neuroscience, and renowned expertise in multisensory integration, sensory-motor integration, decision making, computational modeling and developmental neuroscience: http://www.wakehealth.edu/nba/facultyindex.htm
For more information, contact the PI, Joost X. Maier: https://www.sites.google.com/site/joostmaier/
💎 با ما در ارتباط باشید تا شانس پذیرش شما را افزایش دهیم:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
Full-Time Postdoctoral Associate Position
Department of Basic Science and Craniofacial Biology
New York University, College of Dentistry
New York, NY
We are seeking an enthusiastic scientist with excellent work ethic to join a NIH-funded group and work on projects to discover the mechanisms that regulate the interaction between microbiome and immune cells under normal and diseased conditions. The applicant is expected to work independently as well as in collaboration with other group members to complete projects in a timely manner.
The candidate should have a Ph.D. in Cell Biology, Biomedical Sciences or related field within 5-years. Hands-on experience in molecular biology and cell culture (primary cell culture and differentiation) are required. Familiarity with flow cytometry and FACS cell sorter is highly desirable. Priority will be given to candidates with strong oral communication and writing skills, as evidenced by a strong publication record. Competitive salary and benefits commensurate with the candidate's qualifications.
Preferred skills:
• Flow cytometry
• Cell culture
• Western blot
• Surgery in small animals
• Bone marrow transplant
• Genetic modification (transfection/transduction)
Interested applicants should submit a brief statement of research interests, a CV and three references. Applicants should apply via Interfolio using the following link: http://apply.interfolio.com/50485
The position is available immediately and remains open until filled.
✔️ @ApplyTime
Department of Basic Science and Craniofacial Biology
New York University, College of Dentistry
New York, NY
We are seeking an enthusiastic scientist with excellent work ethic to join a NIH-funded group and work on projects to discover the mechanisms that regulate the interaction between microbiome and immune cells under normal and diseased conditions. The applicant is expected to work independently as well as in collaboration with other group members to complete projects in a timely manner.
The candidate should have a Ph.D. in Cell Biology, Biomedical Sciences or related field within 5-years. Hands-on experience in molecular biology and cell culture (primary cell culture and differentiation) are required. Familiarity with flow cytometry and FACS cell sorter is highly desirable. Priority will be given to candidates with strong oral communication and writing skills, as evidenced by a strong publication record. Competitive salary and benefits commensurate with the candidate's qualifications.
Preferred skills:
• Flow cytometry
• Cell culture
• Western blot
• Surgery in small animals
• Bone marrow transplant
• Genetic modification (transfection/transduction)
Interested applicants should submit a brief statement of research interests, a CV and three references. Applicants should apply via Interfolio using the following link: http://apply.interfolio.com/50485
The position is available immediately and remains open until filled.
✔️ @ApplyTime
Post-doctoral Fellow – Arthritis & Clinical Immunology Dr. Darise Farris
Job Summary/Basic Function
We are seeking a Postdoctoral Fellow to investigate the repertoire, specificity, trannoscriptome and function of salivary gland and blood lymphocytes in the systemic rheumatic disease Sjögren's syndrome with the goal of increasing understanding of disease pathogenesis. The successful candidate will receive training in retroviral TCR transduction, TCR deep sequencing and single cell RNA sequencing. Training opportunities for single cell RNA sequencing data analysis will be available but not required. The candidate will interact with other post-doctoral fellows and scientists working in the area of Sjögren's syndrome and other rheumatic and autoimmune diseases within the Arthritis and Clinical Immunology Program at the Oklahoma Medical Research Foundation.
Minimum Qualifications
Ph.D., M.D., M.D./Ph.D., or DVM/Ph.D.
First-author publication(s) in internationally recognized journals in the fields of immunology and/or molecular biology. Experience in basic approaches of cellular immunology and molecular biology. Motivation and ability to keep abreast of the current literature as well as his/her own experiments. Willingness to interact with other members of the laboratory in a way that raises the scientific excellence of the whole group. Excellent scientific writing and oral presentation skills.
Preferred Qualifications
An interest in, or experience with, TCR (or Ig) repertoire analysis is desirable, but not absolutely required. Proficiency in tissue culture techniques, cell isolation and flow cytometry analysis; ability to independently plan and implement complex assays; good working knowledge of molecular biology tools and familiarity with cloning protocols; extreme attention to detail; able to multitask.
Interested candidates should apply online at http://apptrkr.com/1222784.
✔️ @ApplyTime
Job Summary/Basic Function
We are seeking a Postdoctoral Fellow to investigate the repertoire, specificity, trannoscriptome and function of salivary gland and blood lymphocytes in the systemic rheumatic disease Sjögren's syndrome with the goal of increasing understanding of disease pathogenesis. The successful candidate will receive training in retroviral TCR transduction, TCR deep sequencing and single cell RNA sequencing. Training opportunities for single cell RNA sequencing data analysis will be available but not required. The candidate will interact with other post-doctoral fellows and scientists working in the area of Sjögren's syndrome and other rheumatic and autoimmune diseases within the Arthritis and Clinical Immunology Program at the Oklahoma Medical Research Foundation.
Minimum Qualifications
Ph.D., M.D., M.D./Ph.D., or DVM/Ph.D.
First-author publication(s) in internationally recognized journals in the fields of immunology and/or molecular biology. Experience in basic approaches of cellular immunology and molecular biology. Motivation and ability to keep abreast of the current literature as well as his/her own experiments. Willingness to interact with other members of the laboratory in a way that raises the scientific excellence of the whole group. Excellent scientific writing and oral presentation skills.
Preferred Qualifications
An interest in, or experience with, TCR (or Ig) repertoire analysis is desirable, but not absolutely required. Proficiency in tissue culture techniques, cell isolation and flow cytometry analysis; ability to independently plan and implement complex assays; good working knowledge of molecular biology tools and familiarity with cloning protocols; extreme attention to detail; able to multitask.
Interested candidates should apply online at http://apptrkr.com/1222784.
✔️ @ApplyTime
jobsearch.omrf.org
OMRF Employment Site : Posting Details
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Post-Doc position in Applied Mathematics to Deep Learning
Ecole Normale Superieur, Paris
A post-doctoral position is opening in the Data learning team of Ecole Normale Superieure, lead by Professor Stephane Mallat.
The goal is to pursue a fundamental research project to analyze the mathematical and numerical properties of deep network learning.
The research team is working both on mathematical aspects and on applications to image and audio applications but also to other type of problems including statistical physics.
More information is available at:
http://www.di.ens.fr/data/scattering/
A litterature review is available in the article:
https://arxiv.org/pdf/1601.04920v1.pdf
It is recommended to have a strong mathematical or physics background, and a good knowledge of statistical learning. This research can involve a wide spectrum of mathematics, including harmonic analysis (wavelets), group theory and statistics. The research also includes important numerical experimentations, which requires a good experience in data processing.
The beginning of the position will be in the fall 2018, for one year.
Please send applications and questions to Stephane Mallat
(stephane.mallat [ at] ens.fr), before June 20th 2018.
Applications should be in a single pdf file including:
A motivation letter
Curriculum vitae with email address and the publication list
Two reference letters
References of two significant publications available on the Web, or files attached.
💎 با ما در ارتباط باشید تا شانس پذیرش شما را افزایش دهیم:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
Ecole Normale Superieur, Paris
A post-doctoral position is opening in the Data learning team of Ecole Normale Superieure, lead by Professor Stephane Mallat.
The goal is to pursue a fundamental research project to analyze the mathematical and numerical properties of deep network learning.
The research team is working both on mathematical aspects and on applications to image and audio applications but also to other type of problems including statistical physics.
More information is available at:
http://www.di.ens.fr/data/scattering/
A litterature review is available in the article:
https://arxiv.org/pdf/1601.04920v1.pdf
It is recommended to have a strong mathematical or physics background, and a good knowledge of statistical learning. This research can involve a wide spectrum of mathematics, including harmonic analysis (wavelets), group theory and statistics. The research also includes important numerical experimentations, which requires a good experience in data processing.
The beginning of the position will be in the fall 2018, for one year.
Please send applications and questions to Stephane Mallat
(stephane.mallat [ at] ens.fr), before June 20th 2018.
Applications should be in a single pdf file including:
A motivation letter
Curriculum vitae with email address and the publication list
Two reference letters
References of two significant publications available on the Web, or files attached.
💎 با ما در ارتباط باشید تا شانس پذیرش شما را افزایش دهیم:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
Forwarded from Apply Time
🏁 مسیر اپلای را با ما سادهتر طی نموده و شانس پذیرشتان را با مساعدتهای ما افزایش دهید.
🌈 پل اولیهی ارتباط با ما:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
It's apply time. Let's go!
🌈 پل اولیهی ارتباط با ما:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
It's apply time. Let's go!
Applicants are invited for a Research Fellow position at the School of Engineering, University of Lincoln, Lincoln, UK, to work on a project “Evolutionary Virtual Expert System” from July 2018 (or as soon as possible thereafter), funded by EPSRC (EP/R029741/1). This project aims to design, implement and evaluate an Integrated Intelligent Diagnostic System, which comprise novel signal-processing and modelling techniques, as well as elements derived from industrial expert knowledge.
This is a fixed-term appointment for 12 months, funded by EPSRC. Dependent upon the outcomes, the potential of an extension supported by Siemens Industrial Turbomachinery Ltd. exists after a successful completion of the post.
Formal Application can be submitted at
https://jobs.lincoln.ac.uk/vacancy.aspx?ref=COS510
💎 با ما در ارتباط باشید تا شانس پذیرش شما را افزایش دهیم:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
This is a fixed-term appointment for 12 months, funded by EPSRC. Dependent upon the outcomes, the potential of an extension supported by Siemens Industrial Turbomachinery Ltd. exists after a successful completion of the post.
Formal Application can be submitted at
https://jobs.lincoln.ac.uk/vacancy.aspx?ref=COS510
💎 با ما در ارتباط باشید تا شانس پذیرش شما را افزایش دهیم:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
Summer Internship Position in Dynamic Information Retrieval and User Satisfaction
University College London and Context Scout
London
Apply for an 8-12 week summer machine learning internship working with University College London and Context Scout, who are collaborating to build an AI interface between the web browser and web.
Right now, web browsers render webpages but do not understand the content or how it relates to previous webpages or searches. This forces us to keep tabs open, do hundreds of searches, take notes and so on, meaning it takes work to do work online. With UCL and Context Scout's research, the web browser is transformed into a dynamic interface to information that adapts to your ongoing task, searches for information on your behalf and connects you to your favourite apps.
Context Scout's MVP is being used by beta testers in over 100 companies worldwide and is backed by top investors in the UK and US. The research behind the tech originated in UCL and has been developed for over 6 years before the company was founded at Entrepreneur First 2 years ago.
You'd be joining a team that has extensive entrepreneurial, academic and commercial experience who loves operating at the intersection of deep machine learning research and obsessive user experience.
You can read more about how we're building a new interface to the web https://medium.com/context-scout/the-web-needs-a-new-interface-d85d96202a9aand our aim to build the next generation search technology https://medium.com/context-scout/searching-outside-the-box-c124fdd2cfbc
To apply, please visit
https://angel.co/context-scout/jobs/366090-machine-learning-internship-with-ucl-and-context-scout
or send your CV to Mohammad Akbari at m.akbari@ucl.ac.uk.
✔️ @ApplyTime
University College London and Context Scout
London
Apply for an 8-12 week summer machine learning internship working with University College London and Context Scout, who are collaborating to build an AI interface between the web browser and web.
Right now, web browsers render webpages but do not understand the content or how it relates to previous webpages or searches. This forces us to keep tabs open, do hundreds of searches, take notes and so on, meaning it takes work to do work online. With UCL and Context Scout's research, the web browser is transformed into a dynamic interface to information that adapts to your ongoing task, searches for information on your behalf and connects you to your favourite apps.
Context Scout's MVP is being used by beta testers in over 100 companies worldwide and is backed by top investors in the UK and US. The research behind the tech originated in UCL and has been developed for over 6 years before the company was founded at Entrepreneur First 2 years ago.
You'd be joining a team that has extensive entrepreneurial, academic and commercial experience who loves operating at the intersection of deep machine learning research and obsessive user experience.
You can read more about how we're building a new interface to the web https://medium.com/context-scout/the-web-needs-a-new-interface-d85d96202a9aand our aim to build the next generation search technology https://medium.com/context-scout/searching-outside-the-box-c124fdd2cfbc
To apply, please visit
https://angel.co/context-scout/jobs/366090-machine-learning-internship-with-ucl-and-context-scout
or send your CV to Mohammad Akbari at m.akbari@ucl.ac.uk.
✔️ @ApplyTime
Joint postdoc between UC Berkeley (Rasmus Nielsen) and UCSF (Bryan Greenhouse) on Bayesian inference of malaria infection network. We are seeking a postdoctoral researchers interested in leading the efforts towards developing new computational methods for inferring the networks by which malaria is transmitted between individuals.
For more info see:
https://drive.google.com/file/d/1bC14PL7ePaB5v4ZPx_1qbqesm6gKXx-6/view
✔️ @ApplyTime
For more info see:
https://drive.google.com/file/d/1bC14PL7ePaB5v4ZPx_1qbqesm6gKXx-6/view
✔️ @ApplyTime
Google Docs
PostdocCompStatGenNielsenGreenhouse2018.pdf