The Department of Informatics at University of Bergen in Norway is recruiting a tenure track associate professor in the field of Machine Learning. This is a 6 year fixed term, with a possible promotion to full professor at the end of this period.
To apply please go to
https://www.jobbnorge.no/en/available-jobs/job/151865/tenure-track-associate-professor-in-machine-learning
The closing date of application is May 23.
✔️ @ApplyTime
To apply please go to
https://www.jobbnorge.no/en/available-jobs/job/151865/tenure-track-associate-professor-in-machine-learning
The closing date of application is May 23.
✔️ @ApplyTime
Jobbnorge.no
Tenure Track Associate Professor in Machine Learning (151865) | University of Bergen
Job noscript: Tenure Track Associate Professor in Machine Learning (151865), Employer: University of Bergen, Deadline: Closed
Workshop on Soft Computing and Computational Sustainability
October 15th -17th, 2018
Bilbao, Spain
📎 http://idc2018.jrlab.science/
✔️ @ApplyTime
October 15th -17th, 2018
Bilbao, Spain
📎 http://idc2018.jrlab.science/
✔️ @ApplyTime
Dear colleagues,
We are inviting you to participate in the Fact Extraction and Verification (FEVER) shared task, for which we make available a dataset of 200K claims verified against Wikipedia. The participants will be invited to submit denoscriptions of their systems which will be presented during the FEVER workshop at EMNLP 2018. In what follows we give the task definition, the key dates and organizational contacts. For more information see our workshop and task website: http://fever.ai/index.html
Task Definition
The purpose of the FEVER challenge is to evaluate the ability of a system to verify information using evidence from Wikipedia.
Given a factual claim involving one or more entities (resolvable to Wikipedia pages), the system must extract textual evidence (sets of sentences from Wikipedia pages) that support or refute the claim. Using this evidence, label the claim as Supported, Refuted given the evidence or NotEnoughInfo (if there isn’t sufficient evidence to either support of refute it). One piece of evidence can consist of multiple sentences that only if examined together provide the stated label (e.g. for the claim “Oliver Reed was a film actor.”, one piece of evidence can be the set {“Oliver Reed starred in the Gladiator”, “Gladiator is film released in 2000”}).
Key Dates
Challenge Launch: 3rd April 2018
Testing Begins : 10th July 2018
Submission Closes: 13th July 2018
Results Announced: 16th July 2018
System Denoscriptions Due for Workshop: 27th July 2018
Winners Announced: 31st of October or 1st of November (EMNLP)
Contacts
Register for announcements related to the shared task:
fever2018task-announcements-group@sheffield.ac.uk
For discussions register on the slack channel:
https://fever2018.slack.com/
Contact the organizers at:
fever-organizers-emnlp2018-group@sheffield.ac.uk
Best regards,
The organizers:
Christos Christodoulopoulos (Amazon Research Cambridge)
Oana Cocarascu (Imperial College London)
Arpit Mittal (Amazon Research Cambridge)
James Thorne (University of Sheffield)
Andreas Vlachos (University of Sheffield)
✔️ @ApplyTime
We are inviting you to participate in the Fact Extraction and Verification (FEVER) shared task, for which we make available a dataset of 200K claims verified against Wikipedia. The participants will be invited to submit denoscriptions of their systems which will be presented during the FEVER workshop at EMNLP 2018. In what follows we give the task definition, the key dates and organizational contacts. For more information see our workshop and task website: http://fever.ai/index.html
Task Definition
The purpose of the FEVER challenge is to evaluate the ability of a system to verify information using evidence from Wikipedia.
Given a factual claim involving one or more entities (resolvable to Wikipedia pages), the system must extract textual evidence (sets of sentences from Wikipedia pages) that support or refute the claim. Using this evidence, label the claim as Supported, Refuted given the evidence or NotEnoughInfo (if there isn’t sufficient evidence to either support of refute it). One piece of evidence can consist of multiple sentences that only if examined together provide the stated label (e.g. for the claim “Oliver Reed was a film actor.”, one piece of evidence can be the set {“Oliver Reed starred in the Gladiator”, “Gladiator is film released in 2000”}).
Key Dates
Challenge Launch: 3rd April 2018
Testing Begins : 10th July 2018
Submission Closes: 13th July 2018
Results Announced: 16th July 2018
System Denoscriptions Due for Workshop: 27th July 2018
Winners Announced: 31st of October or 1st of November (EMNLP)
Contacts
Register for announcements related to the shared task:
fever2018task-announcements-group@sheffield.ac.uk
For discussions register on the slack channel:
https://fever2018.slack.com/
Contact the organizers at:
fever-organizers-emnlp2018-group@sheffield.ac.uk
Best regards,
The organizers:
Christos Christodoulopoulos (Amazon Research Cambridge)
Oana Cocarascu (Imperial College London)
Arpit Mittal (Amazon Research Cambridge)
James Thorne (University of Sheffield)
Andreas Vlachos (University of Sheffield)
✔️ @ApplyTime
Forwarded from Apply Time
#Services #ApplyTime
🏧 برخی از خدمات تیم اپلایتایم:
1- مشاوره در مسیر اپلای
2- ویرایش #رزومه، #انگیزه_نامه، #متن_ایمیل_به_استاد، #کاور_لتر #پروپوزال، #توصیه_نامه
3- #پوزیشن_یابی و #فاند_یابی (#بورسیه_تحصیلی)
4- آمادهسازی به نحو احسن مجموعه مدارک مورد نیاز ِ مسیر اپلای
5- کلاسهای آمادگی آزمون زبان #انگلیسی، #آلمانی و #فرانسوی
6- #پذیرش گرفتن از دانشگاههای خارجی در مقاطع و رشتههای مختلف تحصیلی
7- #ترجمهی رسمی (در صورت نیاز با مهر دادگستری) مدارک دانشگاهی شامل دانشنامه، ریز نمرات و ...
8- ترجمهی متون شما: فارسی به انگلیسی، فارسی به آلمانی، فارسی به فرانسوی؛ و بالعکس
...
💻 جهت درخواست هر کدام از خدمات فوق، فقط کافی است با #ادمین کانال در ارتباط باشید.
📅 همچنین به منظور رزور کردن وقت #مشاورهی #تلفنی، #اسکایپی و یا #حضوری، تنها کافی است به ادمین کانال پیامی ارسال نمایید.
🌈 پل اولیهی ارتباط با ما:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
Move ahead! It’s apply time. Let’s go!
We know that there is a path to get there!
🏧 برخی از خدمات تیم اپلایتایم:
1- مشاوره در مسیر اپلای
2- ویرایش #رزومه، #انگیزه_نامه، #متن_ایمیل_به_استاد، #کاور_لتر #پروپوزال، #توصیه_نامه
3- #پوزیشن_یابی و #فاند_یابی (#بورسیه_تحصیلی)
4- آمادهسازی به نحو احسن مجموعه مدارک مورد نیاز ِ مسیر اپلای
5- کلاسهای آمادگی آزمون زبان #انگلیسی، #آلمانی و #فرانسوی
6- #پذیرش گرفتن از دانشگاههای خارجی در مقاطع و رشتههای مختلف تحصیلی
7- #ترجمهی رسمی (در صورت نیاز با مهر دادگستری) مدارک دانشگاهی شامل دانشنامه، ریز نمرات و ...
8- ترجمهی متون شما: فارسی به انگلیسی، فارسی به آلمانی، فارسی به فرانسوی؛ و بالعکس
...
💻 جهت درخواست هر کدام از خدمات فوق، فقط کافی است با #ادمین کانال در ارتباط باشید.
📅 همچنین به منظور رزور کردن وقت #مشاورهی #تلفنی، #اسکایپی و یا #حضوری، تنها کافی است به ادمین کانال پیامی ارسال نمایید.
🌈 پل اولیهی ارتباط با ما:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
Move ahead! It’s apply time. Let’s go!
We know that there is a path to get there!
SUMMER SCHOOL ON
#Deep_Learning AND
#Bayesian Methods
August 27th – September 1st 2018, Moscow, Russia
📎 http://deepbayes.ru/
✔️ @ApplyTime
#Deep_Learning AND
#Bayesian Methods
August 27th – September 1st 2018, Moscow, Russia
📎 http://deepbayes.ru/
✔️ @ApplyTime
Multiple PhDs and Postdoctoral Positions in Social and Information Systems at MPI-SWS
The Max Planck Institute for Software Systems (MPI-SWS, http://www.mpi-sws.org/) is growing its presence in social and information systems with multiple PhD and postdoctoral positions under the supervision of Manuel Gomez Rodriguez, Krishna Gummadi and/or Adish Singla.
MPI-SWS is at the forefront of research in a large variety of topics in social and information systems, from fairness, accountability and transparency in algorithmic decision making, temporal point processes for modeling and control of social processes, to the emerging field of machine teaching. Researchers at MPI-SWS have published extensively in the top conference in the field (e.g., NIPS, ICML, KDD, WWW, WSDM, ICWSM) and received numerous awards, including an ERC Advanced grant, several Humboldt postdoctoral awards, and best/runner-up paper awards at NIPS, WWW, or ICWSM.
Applicants should be highly motivated and creative and have an exceptional background in machine learning, probability, optimization or social computing, as well as excellent programming skills. Postdoctoral applicants should have a strong track record of research publications in top tier conferences and a Ph.D. in a relevant field (e.g., Computer Science, Information Science, Engineering, Statistics & Optimization).
MPI-SWS currently has 13 tenured and tenure-track faculty and about 50 doctoral and post-doctoral researchers and is located in Kaiserslautern and Saarbruecken, in the tri-border area of Germany, France and Luxembourg. The institute maintains an open, international and diverse work environment and we seek applications from outstanding candidates regardless of national origin or citizenship. Working language at MPI-SWS is English -- German is not required. The salary is highly competitive and you will have great support to do outstanding research.
In order to apply, please, refer to https://www.mpi-sws.org/graduate-studies/#admission (phd positions) or https://www.mpi-sws.org/research-careers/#postdoctoral-positions (postdoctoral positions). Informal inquiries should be directed to applications-sis@mpi-sws.org. Reviews of applications will start immediately, and continue until the positions are filled.
✔️ @ApplyTime
The Max Planck Institute for Software Systems (MPI-SWS, http://www.mpi-sws.org/) is growing its presence in social and information systems with multiple PhD and postdoctoral positions under the supervision of Manuel Gomez Rodriguez, Krishna Gummadi and/or Adish Singla.
MPI-SWS is at the forefront of research in a large variety of topics in social and information systems, from fairness, accountability and transparency in algorithmic decision making, temporal point processes for modeling and control of social processes, to the emerging field of machine teaching. Researchers at MPI-SWS have published extensively in the top conference in the field (e.g., NIPS, ICML, KDD, WWW, WSDM, ICWSM) and received numerous awards, including an ERC Advanced grant, several Humboldt postdoctoral awards, and best/runner-up paper awards at NIPS, WWW, or ICWSM.
Applicants should be highly motivated and creative and have an exceptional background in machine learning, probability, optimization or social computing, as well as excellent programming skills. Postdoctoral applicants should have a strong track record of research publications in top tier conferences and a Ph.D. in a relevant field (e.g., Computer Science, Information Science, Engineering, Statistics & Optimization).
MPI-SWS currently has 13 tenured and tenure-track faculty and about 50 doctoral and post-doctoral researchers and is located in Kaiserslautern and Saarbruecken, in the tri-border area of Germany, France and Luxembourg. The institute maintains an open, international and diverse work environment and we seek applications from outstanding candidates regardless of national origin or citizenship. Working language at MPI-SWS is English -- German is not required. The salary is highly competitive and you will have great support to do outstanding research.
In order to apply, please, refer to https://www.mpi-sws.org/graduate-studies/#admission (phd positions) or https://www.mpi-sws.org/research-careers/#postdoctoral-positions (postdoctoral positions). Informal inquiries should be directed to applications-sis@mpi-sws.org. Reviews of applications will start immediately, and continue until the positions are filled.
✔️ @ApplyTime
Fully-funded PhD position in Reinforcement Learning
Applications are invited for a fully funded position for a PhD candidate to work on the development and application of a novel framework for personalised health interventions that combines elements of contextual bandits, causal prediction, and online learning.
The successful candidate will be based in the Amsterdam Machine Learning Lab (AMLab) led by prof. Max Welling within the Informatics Institute of the Faculty of Science of the University of Amsterdam, the Netherlands.
The research will be supervised by dr. Joris Mooij of AMLab and dr. Danielle Belgrave of Microsoft Research Cambridge.
Application closing date: June 1, 2018
Preferred starting date: Before the end of 2018
Duration: 4 years
Some of the things we have to offer:
* competitive pay and good benefits;
* top-50 university worldwide;
* very friendly, interactive and international working environment;
* excellent computing facilities;
* new building located near the city center (10 minutes by bicycle) of one of Europe's most beautiful and lively cities.
Further information
For further information, including instructions on submitting an application, please see the official job advertisement at:
http://www.uva.nl/en/content/vacancies/2018/04/18-197-phd-candidate-in-reinforcement-learning.html?b
Informal inquiries can be made by email to Joris Mooij (j.m.mooij@uva.nl).
Joris Mooij | Associate Professor
Amsterdam Machine Learning Lab (AMLab)
Informatics Institute | University of Amsterdam
✔️ @ApplyTime
Applications are invited for a fully funded position for a PhD candidate to work on the development and application of a novel framework for personalised health interventions that combines elements of contextual bandits, causal prediction, and online learning.
The successful candidate will be based in the Amsterdam Machine Learning Lab (AMLab) led by prof. Max Welling within the Informatics Institute of the Faculty of Science of the University of Amsterdam, the Netherlands.
The research will be supervised by dr. Joris Mooij of AMLab and dr. Danielle Belgrave of Microsoft Research Cambridge.
Application closing date: June 1, 2018
Preferred starting date: Before the end of 2018
Duration: 4 years
Some of the things we have to offer:
* competitive pay and good benefits;
* top-50 university worldwide;
* very friendly, interactive and international working environment;
* excellent computing facilities;
* new building located near the city center (10 minutes by bicycle) of one of Europe's most beautiful and lively cities.
Further information
For further information, including instructions on submitting an application, please see the official job advertisement at:
http://www.uva.nl/en/content/vacancies/2018/04/18-197-phd-candidate-in-reinforcement-learning.html?b
Informal inquiries can be made by email to Joris Mooij (j.m.mooij@uva.nl).
Joris Mooij | Associate Professor
Amsterdam Machine Learning Lab (AMLab)
Informatics Institute | University of Amsterdam
✔️ @ApplyTime
Post-doc position is available at the University of Ottawa, Ottawa, Canada to work on machine learning using recently collected data set from 40+ patients. The goal is to develop algorithms for continuous blood pressure measurements.
Knowledge of machine/ deep learning is required. Experience in biomedical engineering and signal processing is desired.
Applicants must possess a Ph.D. degree in Engineering/Biomedical/Computer Science/Math/Science obtained in the past three years, with evidence of research productivity. Good oral and written English skills are required.
This position is open to citizens of any nationality, but preference will be given to citizens and permanent residents of Canada. The starting date is June 2018. The position will remain opened until suitable candidate is found.
Please send your CV to Miodrag Bolic at mbolic@site.uottawa.ca.
✔️ @ApplyTime
Knowledge of machine/ deep learning is required. Experience in biomedical engineering and signal processing is desired.
Applicants must possess a Ph.D. degree in Engineering/Biomedical/Computer Science/Math/Science obtained in the past three years, with evidence of research productivity. Good oral and written English skills are required.
This position is open to citizens of any nationality, but preference will be given to citizens and permanent residents of Canada. The starting date is June 2018. The position will remain opened until suitable candidate is found.
Please send your CV to Miodrag Bolic at mbolic@site.uottawa.ca.
✔️ @ApplyTime
🆔 #N0538; #English; #Course; #TOEFL;
🔆 آمادگی آزمون #تافل.
💡در ادامه شاهد کورس آنلاینی در ارتباط با چگونگی آزمون تافل خواهید بود که توسط #ETS (یعنی همان سازمان برگزار کنندهی آزمون #تافل) و #EDX (که یک پلتفرم آنلاین آموزشی میباشد) تهیه شده است. این کورس در شش هفته بوده و همهی مهارتهای چهارگانهی آزمون تافل را پوشش میدهد.
☑️لازم به ذکر است که این کورس رایگان بوده و با وجود اینکه شما عزیزان میتوانید این کورس را به صورت آنلاین در وبسایت EDX تماشا کرده و حتی دانلود کنید، اما تیم اپلایتایم برای صرفهجویی در زمان شما عزیزان و راحتی حال شما، این کورس را کامل دانلود کرده، و در ادامه با شما به اشتراک خواهیم گذاشت.
◀️ توضیح اینکه:
🚩 فایلهای هر شش هفته به صورت یکجا در اختیار شما عزیزان قرار خواهد گرفت.
🚩 ترتیب اجرای فایلهای موجود در فولدر هر هفته بر حسب شمارهی آنها میباشد.
🚩 در فولدر اصلی، یک فایل HTML وجود دارد، که حاوی لینکهایی است که مکمل فایلهای 6 هفته میباشد.
🚩فایلهای هر هفته در فرمت zip هستند. بنابراین برای باز کردن فایل دانلود شده، شما به یک نرمافزار یا اَپِ زیپریدر نیاز خواهید داشت.
🚩 در صورت مواجه شدن با هرگونه مشکلی در باز کردن فایلها، لطفا با ادمین کانال در ارتباط باشید.
🚩 با لمس کردن یا کلیک کردن روی تگ زیر میتوانید فایل مورد نظر را بیابید:
#N0538
✳️ همانطور که میدانید تیم اپلایتایم مفتخر به داشتن اساتید مجرب زبان انگلیسی است که برای شما سروران گرامی در هر جغرافیا که باشید، کلاسهای آنلاین زبان انگلیسی با برترین متدهای روز برگزار میکند. جهت شرکت در این کلاسهای آنلاین، لطفا با ادمین کانال در ارتباط باشد.
❇️ چنانچه بین منابع و چند و چونهای مسیر اپلای، مضطرب شدهاید و شما را راه گریزی از استرسهای همیشگی و بی امان نیست، با ما در اپلایتایم همراه باشید:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
It’s apply time. Let's go!
—---------------------------------—
🌐 https://goo.gl/IzEP4f
🔆 آمادگی آزمون #تافل.
💡در ادامه شاهد کورس آنلاینی در ارتباط با چگونگی آزمون تافل خواهید بود که توسط #ETS (یعنی همان سازمان برگزار کنندهی آزمون #تافل) و #EDX (که یک پلتفرم آنلاین آموزشی میباشد) تهیه شده است. این کورس در شش هفته بوده و همهی مهارتهای چهارگانهی آزمون تافل را پوشش میدهد.
☑️لازم به ذکر است که این کورس رایگان بوده و با وجود اینکه شما عزیزان میتوانید این کورس را به صورت آنلاین در وبسایت EDX تماشا کرده و حتی دانلود کنید، اما تیم اپلایتایم برای صرفهجویی در زمان شما عزیزان و راحتی حال شما، این کورس را کامل دانلود کرده، و در ادامه با شما به اشتراک خواهیم گذاشت.
◀️ توضیح اینکه:
🚩 فایلهای هر شش هفته به صورت یکجا در اختیار شما عزیزان قرار خواهد گرفت.
🚩 ترتیب اجرای فایلهای موجود در فولدر هر هفته بر حسب شمارهی آنها میباشد.
🚩 در فولدر اصلی، یک فایل HTML وجود دارد، که حاوی لینکهایی است که مکمل فایلهای 6 هفته میباشد.
🚩فایلهای هر هفته در فرمت zip هستند. بنابراین برای باز کردن فایل دانلود شده، شما به یک نرمافزار یا اَپِ زیپریدر نیاز خواهید داشت.
🚩 در صورت مواجه شدن با هرگونه مشکلی در باز کردن فایلها، لطفا با ادمین کانال در ارتباط باشید.
🚩 با لمس کردن یا کلیک کردن روی تگ زیر میتوانید فایل مورد نظر را بیابید:
#N0538
✳️ همانطور که میدانید تیم اپلایتایم مفتخر به داشتن اساتید مجرب زبان انگلیسی است که برای شما سروران گرامی در هر جغرافیا که باشید، کلاسهای آنلاین زبان انگلیسی با برترین متدهای روز برگزار میکند. جهت شرکت در این کلاسهای آنلاین، لطفا با ادمین کانال در ارتباط باشد.
❇️ چنانچه بین منابع و چند و چونهای مسیر اپلای، مضطرب شدهاید و شما را راه گریزی از استرسهای همیشگی و بی امان نیست، با ما در اپلایتایم همراه باشید:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
It’s apply time. Let's go!
—---------------------------------—
🌐 https://goo.gl/IzEP4f
Forwarded from Apply Time
TOEFL Test Preparation @ApplyTime.rar
282.3 MB
🆔 #N0839; #English; #Course; #IELTS;
🔆 IELTS Understanding: Techniques for English Language Tests
🕉 آیلتس آندرستندینگ، نام کورس آنلاینی است که توسط British Council (سازمان بین المللی ِ روابط فرهنگی و فرصتهای آموزشی بریتانیا) و FutureLearn (یک پلتفرم آموزشی آنلاین) تهیه شده است. این کورس از وبسایت FutureLearn به صورت رایگان قابل مشاهدهی آنلاین و دانلود میباشد. اما جهت رفاه حال شما عزیزان، تیم اپلای تایم این کورس را تماماً دانلود کرده، و در ادامه آن را با شما به اشتراک خواهیم گذاشت.
◀️ توضیح اینکه:
🚩 فایلها شش هفته به صورت جداگانه در اختیار شما عزیزان قرار خواهد گرفت.
طریقهی استفاده از فایلها بسیار ساده میباشد. کافی است فایلها را به ترتیب شمارهیشان اجرا نمایید.
🚩 لطفا دقت فرمایید، فایلهایی که شمارههای یکسان دارند، به نوعی همزمان باید اجرا شوند. به عنوان مثال در فولدر مربوط به هفتهی اول، فایلهایی در سه فرمت مختلف داریم که همگی آنها با شمارهی 05 آغاز شدهاند. فایل HTML: صفحهای از وبسایت کورس بوده؛ فایل mp4: فایل ویدئویی این بخش از کورس؛ و فایل PDF: متن سخرانی این فایل ویدئویی میباشد. با کمی دقت، ترتیب بقیهی فایلها نیز به سادگی قابل دریافت است.
🚩فایلهای هر هفته در فرمت zip هستند. بنابراین برای باز کردن فایل دانلود شده، شما به یک نرمافزار یا اَپِ زیپریدر نیاز خواهید داشت.
🚩 در صورت مواجه شدن با هرگونه مشکلی در باز کردن فایلها، لطفا با ادمین کانال در ارتباط باشید.
🚩 با لمس کردن یا کلیک کردن روی تگ زیر میتوانید فایل مورد نظر را بیابید:
#N0839
⚠️ عزیزانی که پیشتر این کورس را از این کانال دانلود نمودهاند، نیاز به دانلود مجدد آن نخواهند داشت.
✳️ سروران گرامی، مفتخر هستیم که با داشتن اساتید با تجربهی زبان انگلیسی که همگی استاد دانشگاه در این رشته هستند، و تجربهی بیش از یک دهه زبان آموزی در سطوح مختلف و آزمونهای بین المللی نظیر TOEFL و IELTS را دارند با شما عزیزان همراه باشیم.
📋 لازم به ذکر است که #کلاسهای #تابستانهی #حضوری تیم اپلایتایم به زودی (اواسط #اردیبهشت ماه) آغاز میگردند. چنانچه علاقهمند میباشید از نحوهی برگزاری این کلاسها باخبر گردید، با ما در ارتباط باشید:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
It’s apply time. Let's go!
—---------------------------------—
🌐 https://goo.gl/crnHWZ
🔆 IELTS Understanding: Techniques for English Language Tests
🕉 آیلتس آندرستندینگ، نام کورس آنلاینی است که توسط British Council (سازمان بین المللی ِ روابط فرهنگی و فرصتهای آموزشی بریتانیا) و FutureLearn (یک پلتفرم آموزشی آنلاین) تهیه شده است. این کورس از وبسایت FutureLearn به صورت رایگان قابل مشاهدهی آنلاین و دانلود میباشد. اما جهت رفاه حال شما عزیزان، تیم اپلای تایم این کورس را تماماً دانلود کرده، و در ادامه آن را با شما به اشتراک خواهیم گذاشت.
◀️ توضیح اینکه:
🚩 فایلها شش هفته به صورت جداگانه در اختیار شما عزیزان قرار خواهد گرفت.
طریقهی استفاده از فایلها بسیار ساده میباشد. کافی است فایلها را به ترتیب شمارهیشان اجرا نمایید.
🚩 لطفا دقت فرمایید، فایلهایی که شمارههای یکسان دارند، به نوعی همزمان باید اجرا شوند. به عنوان مثال در فولدر مربوط به هفتهی اول، فایلهایی در سه فرمت مختلف داریم که همگی آنها با شمارهی 05 آغاز شدهاند. فایل HTML: صفحهای از وبسایت کورس بوده؛ فایل mp4: فایل ویدئویی این بخش از کورس؛ و فایل PDF: متن سخرانی این فایل ویدئویی میباشد. با کمی دقت، ترتیب بقیهی فایلها نیز به سادگی قابل دریافت است.
🚩فایلهای هر هفته در فرمت zip هستند. بنابراین برای باز کردن فایل دانلود شده، شما به یک نرمافزار یا اَپِ زیپریدر نیاز خواهید داشت.
🚩 در صورت مواجه شدن با هرگونه مشکلی در باز کردن فایلها، لطفا با ادمین کانال در ارتباط باشید.
🚩 با لمس کردن یا کلیک کردن روی تگ زیر میتوانید فایل مورد نظر را بیابید:
#N0839
⚠️ عزیزانی که پیشتر این کورس را از این کانال دانلود نمودهاند، نیاز به دانلود مجدد آن نخواهند داشت.
✳️ سروران گرامی، مفتخر هستیم که با داشتن اساتید با تجربهی زبان انگلیسی که همگی استاد دانشگاه در این رشته هستند، و تجربهی بیش از یک دهه زبان آموزی در سطوح مختلف و آزمونهای بین المللی نظیر TOEFL و IELTS را دارند با شما عزیزان همراه باشیم.
📋 لازم به ذکر است که #کلاسهای #تابستانهی #حضوری تیم اپلایتایم به زودی (اواسط #اردیبهشت ماه) آغاز میگردند. چنانچه علاقهمند میباشید از نحوهی برگزاری این کلاسها باخبر گردید، با ما در ارتباط باشید:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
It’s apply time. Let's go!
—---------------------------------—
🌐 https://goo.gl/crnHWZ
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PhD positions in Machine Learning/Artificial Intelligence/Causal Discovery at the University of Crete
If you are a Graduate student wish to join an exciting interdisciplinary team working in the fields of data science, machine learning and artificial intelligence, there are several PhD opportunities at the MensXMachina Group in the University of Crete. Research in the group is led by Prof. Ioannis Tsamardinos having several ambitious goals and directions: (a) basic research on causal discovery, causal analysis, and causal modeling, (b) the design of automated learning tools, (c) (deep) neural networks and (d) predictive analytics. The successful candidates will join recently funded International and Domestic projects on Cancer Research, Biomedicine, IoTs and others.
Procedure
=========
Interested candidates should send by email to mensxmachina -at- gmail.com the following material:
• Curriculum Vitae
• Statement of research qualifications and interests
• At least three reference contacts
Further information contacts
============================
Ioannis Tsamardinos
Professor,
Computer Science Dep., University of Crete
tsamard.it -at- gmail.com
Georgios Papoutsoglou
Post-Doc Researcher,
Computer Science Dep., University of Crete
geo.papoutsoglou -at- gmail.com
For information on the MXM Group:
www.mensxmachina.org
✔ @ApplyTime
If you are a Graduate student wish to join an exciting interdisciplinary team working in the fields of data science, machine learning and artificial intelligence, there are several PhD opportunities at the MensXMachina Group in the University of Crete. Research in the group is led by Prof. Ioannis Tsamardinos having several ambitious goals and directions: (a) basic research on causal discovery, causal analysis, and causal modeling, (b) the design of automated learning tools, (c) (deep) neural networks and (d) predictive analytics. The successful candidates will join recently funded International and Domestic projects on Cancer Research, Biomedicine, IoTs and others.
Procedure
=========
Interested candidates should send by email to mensxmachina -at- gmail.com the following material:
• Curriculum Vitae
• Statement of research qualifications and interests
• At least three reference contacts
Further information contacts
============================
Ioannis Tsamardinos
Professor,
Computer Science Dep., University of Crete
tsamard.it -at- gmail.com
Georgios Papoutsoglou
Post-Doc Researcher,
Computer Science Dep., University of Crete
geo.papoutsoglou -at- gmail.com
For information on the MXM Group:
www.mensxmachina.org
✔ @ApplyTime
Machine Learning Postdoctoral Position at U. of Toronto (Interactive Media Lab in Industrial Engineering)
We are seeking a postdoctoral candidate who holds a PhD in engineering or computer science, to work in the area of innovative user interfaces between humans and smart agents. Experience in machine learning, mixed integer linear programming optimization, deep learning, Bayesian networks, data mining, or a related data-processing field is required. Strong programming skills are required. Familiarity with Android operating system is preferred
Experience with human factors and user interface design is an asset. The main role of the candidate will be to collaborate with an industry partner and the university research team members on the development of novel user interfaces for an intelligent smart phone assistant. An additional role is to provide strong leadership to MASc and PhD students in the team.
Excellent communication skills, strong independent research skills, and sensitivity to industry partner direction are required. The candidate will be expected to work independently, provide leadership to an interdisciplinary team of graduate students, produce publishable results, and publish frequently.
Initial funding for 1 year is available. An extension of funding to 2 years is possible, depending on project success and availability of funds.
The application package (to be emailed to Prof. M. Chignell) should include a cover letter and CV, including a list of 3 professional references.
**Deadline: May 3, 2018
Dr. Mark Chignell
Professor, Industrial Engineering and Computer Science
Department of Mechanical & Industrial Engineering
Faculty of Applied Science & Engineering
University of Toronto
5 King's College Road
Toronto, ON Canada M5S 3G8
Phone: +1 (416) 978-8951
(No Voicemail, send messages by email)
Fax: +1 (416) 978-7753
Email: chignell@mie.utoronto.ca
Web: https://www.mie.utoronto.ca/mie/faculty/chignell
https://imedia.mie.utoronto.ca/
✔ @ApplyTime
We are seeking a postdoctoral candidate who holds a PhD in engineering or computer science, to work in the area of innovative user interfaces between humans and smart agents. Experience in machine learning, mixed integer linear programming optimization, deep learning, Bayesian networks, data mining, or a related data-processing field is required. Strong programming skills are required. Familiarity with Android operating system is preferred
Experience with human factors and user interface design is an asset. The main role of the candidate will be to collaborate with an industry partner and the university research team members on the development of novel user interfaces for an intelligent smart phone assistant. An additional role is to provide strong leadership to MASc and PhD students in the team.
Excellent communication skills, strong independent research skills, and sensitivity to industry partner direction are required. The candidate will be expected to work independently, provide leadership to an interdisciplinary team of graduate students, produce publishable results, and publish frequently.
Initial funding for 1 year is available. An extension of funding to 2 years is possible, depending on project success and availability of funds.
The application package (to be emailed to Prof. M. Chignell) should include a cover letter and CV, including a list of 3 professional references.
**Deadline: May 3, 2018
Dr. Mark Chignell
Professor, Industrial Engineering and Computer Science
Department of Mechanical & Industrial Engineering
Faculty of Applied Science & Engineering
University of Toronto
5 King's College Road
Toronto, ON Canada M5S 3G8
Phone: +1 (416) 978-8951
(No Voicemail, send messages by email)
Fax: +1 (416) 978-7753
Email: chignell@mie.utoronto.ca
Web: https://www.mie.utoronto.ca/mie/faculty/chignell
https://imedia.mie.utoronto.ca/
✔ @ApplyTime
Department of Mechanical & Industrial Engineering
MIE Home - Department of Mechanical & Industrial Engineering
Welcome to MIE Our department offers both undergraduate and graduate programs taught by our world-renowned faculty with plenty of opportunities for hands-on experience and research. Latest News See all news stories Prospective Students Undergraduate Studies…
Assistant Professor position in Data Science
https://tiu.nu/13421
The Department of Cognitive Science and Artificial Intelligence of the Tilburg
School of Humanities and Digital Sciences, is looking for an enthusiastic
colleague for the position of Assistant Professor in the field of Data Science.
INFORMATION
For more information on this position, please contact prof. Eric Postma
(e.o.postma@uvt.nl e.o.postma@uvt.nl> ), or the Head of the Department, prof. Pieter Spronck
(p.spronck@uvt.nl p.spronck@uvt.nl>).
APPLICATIONS
Applications should include a cover letter in English, a Curriculum Vitae (including two references), and a one-page statement about the candidate’s contribution to Cognitive Science and Artificial Intelligence. The application
deadline is May 21, 2018. The only way to apply is online by following this
link: http://www.tilburguniversity.edu/about-tilburg-university/working-at/wp/
✔️ @ApplyTime
https://tiu.nu/13421
The Department of Cognitive Science and Artificial Intelligence of the Tilburg
School of Humanities and Digital Sciences, is looking for an enthusiastic
colleague for the position of Assistant Professor in the field of Data Science.
INFORMATION
For more information on this position, please contact prof. Eric Postma
(e.o.postma@uvt.nl e.o.postma@uvt.nl> ), or the Head of the Department, prof. Pieter Spronck
(p.spronck@uvt.nl p.spronck@uvt.nl>).
APPLICATIONS
Applications should include a cover letter in English, a Curriculum Vitae (including two references), and a one-page statement about the candidate’s contribution to Cognitive Science and Artificial Intelligence. The application
deadline is May 21, 2018. The only way to apply is online by following this
link: http://www.tilburguniversity.edu/about-tilburg-university/working-at/wp/
✔️ @ApplyTime