🔆 11 موقعیت‌ تحصیلی جدید معرفی شد:👇

🏁 https://news.1rj.ru/str/ApplyTime_Positions

Two postdoctoral fellow positions specializing in machine learning and signal processing for applications in Critical Care Medicine is available in Point of Care Analytics Lab at the University of Tennessee Health Science Center–Oak Ridge National Lab’s Center for Biomedical Informatics. Point of Care Analytics (PCA) is a laboratory for innovation at the intersection of deep learning, signal processing, medical science, and systems design. PoCA develops novel and impactful applications and algorithms that can be used to predict abnormal medical conditions before they show clinical signs at the bed-side.

A successful applicant must have a Ph.D. of high standing in a relevant discipline (e.g. Computer Science, Electrical Engineering, Medical Informatics, etc.) within the last five years and a strong research track record. Strong programming and communication skills are required. Prior experience in Convolutional Neural Network, Recurrent Neural Networks, or real-time signal processing would be a strong asset.

Interested applicants, please send CV, publication list to:
Dr. Rishikesan Kamaleswaran (rkamales@uthsc.edu).

Review of applications starts immediately and will continue until the position is filled.

✔️ @ApplyTime

NEC Labs Europe's SysML (Systems and Machine Learning) group is looking for a highly motivated Early Stage Researcher (ESR) who is interested in performing cutting-edge machine learning research with real-world impact. The position is part of the Innovative Training Network (ITN) ECOLE funded under the EU H2020 Marie Skłodowska-Curie Actions. ECOLE is comprised of academic and industrial partners from the UK, the Netherlands, and Germany.


ECOLE topic is research at the intersection of machine learning and optimization technologies to address new industrial challenges. The successful candidate will work on novel methods at the intersection of deep learning and statistical machine learning for analyzing complex data, in particular graph data and multimodal data. The ESR will take part in doctoral training program, and receive comprehensive support for their doctoral research.

NEC Labs in Heidelberg (Germany) provides an excellent working environment supporting individual creativity as well as strong teamwork. The Marie Skłodowska-Curie programme offers a highly competitive remuneration, including living, mobility and family allowances.

Desired Skills and Experience:

- Excellent Master’s degree in computer science, mathematics, or a related field

- Knowledge and experience of deep learning and statistical machine learning

- Publication record in top machine learning/AI venues (e.g. ICML, NIPS, IJCAI, AAAI, and KDD) would be beneficial 

- Programming proficiency in languages such as Python and Java

- Knowledge of deep learning frameworks would be beneficial

- Excellent English language skills

- Excellent communication and team working skills

Mobility rule for MSCA-ITN programme:

Candidates must not have resided or carried out their main activity (work, studies, etc.) in Germany for more than 12 months in the 3 years immediately before the recruitment date.

Please send your application by June 30 2018 electronically via the applications web system http://www.neclab.eu/jobs/ with reference to [1804-289-SML].

✔ @ApplyTime

می‌گویند معلمی شغل انبیاست. من این را خوب نمی‌دانم. اما یک چیز را خوب می‌دانم. با این حقوق کم هنوز معلم ماندن، دست مریزاد گفتن دارد.

هفته‌ی معلم بر همه‌ی آموزگاران گرامی باد؛ و بر آموزگاران واقعی بسی بیشتر گرامی باد. آموزگار واقعی و نه هر آموزگاری. نه آن کس که شاگردی را آن‌گونه که در آن ویدئو دیدیم به باد کتک گرفت. نه آنی که به بچه‌ی مدیر نمره‌ی بیشتری داد. نه آنی که به شاگردی که کلاس خصوصی هم با وی داشت، لطف بیشتری نمود. نه آنی که همه‌ی شاگردها را به یک چشم ندید. نه آنی که به عشوه‌ی شاگرد دخترش نمره‌ داد و نه به برگه‌ی امتحانی‌اش‌. نه آنی که به خاطر بی‌حوصلگی یا به بهانه‌ی بی‌استعدادی یک شاگرد او را فراموش کرد. نه آنی که فقط معلم شاگرد خوب‌های کلاس بود. بلی بر آموزگاران حقیقی بیشتر مبارک باد. آن معلمی که موهایش را به خاطر شاگرد سرطانی‌اش تراشید. آموزگاری که با پرایدش شاگرد معلولش را به مدرسه رساند. دبیری که به - به قول معروف - خنگ بودن شاگردش پاسخ صبر و شکیبایی و اصرار به آموختن بیشتر داد. به استادی که اندیشیدن را آموخت و نه اندیشه‌ها را ...

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🏧 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!

📎 http://www.jobs.uzh.ch/jobDetail.php?jobID=8145

✔️ @ApplyTime

The 6th International Workshop on Musical Metacreation

http://musicalmetacreation.org

June 25-26, 2018, Salamanca, Spain.


=== The 2018 MuMe workshop is opening up a new call for late papers ===

Re-opened to admit late breaking developments and works in progress, this late papers deadline is your opportunity to get feedback on your work and join the debate.

=== Important dates ===
Deadline for submission of late papers and musical works: May 12th
Notification of acceptance: May 25th.

Camera-ready version: May 19th, 2017
Concert rehearsals: June 18th.
MuMe academic workshop: June 25th.
ICCC conference: June 25th-29rd.

=== Submission ===
For all information regarding submission, head to http://musicalmetacreation.org/.

✔️ @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: theresa.rass@icloud.com

✔️ @ApplyTime

I am delighted to announce an opening for a funded PhD studentship at Sheffield Robotics & Dept of Computer Science at the University of Sheffield. The project will use machine learning methods to help reverse engineer the insect visual system to develop new insights and develop novel sensors for robots. You will benefit from close collaboration with world-leading researchers working on the £4.8M EPSRC programme grant: “Brains on Board”: Neuromorphic Control of Flying Robots, and in the new Machine Learning Research Network.

Candidates with excellent skills in machine learning, computer vision, computer science, maths, physics or other related fields are encouraged to apply here -> http://www.jobs.ac.uk/job/BJM865/phd-studentship-using-machine-learning-to-reverse-engineer-the-insect-eye/

For any questions please contact me directly at https://www.sheffield.ac.uk/dcs/people/academic/mmangan

✔️ @ApplyTime

The Swiss AI Lab (IDSIA) www.idsia.ch, opens a position for a post-doc researcher in the area of machine learning.

✔ @ApplyTime

I  am hiring for a data scientist position, focus on machine learning, for predictive analytics in pediatatric healthcare research in the Department of Biomedical and Health Informatics at the Children's Hospital of Philadelphia. 

For a complete job denoscription and to apply, please visit:

https://careers.chop.edu/job/Philadelphia-DBHi-Data-Scientist-I-PA-19146/475531500/ 

✔️ @ApplyTime

Call for Participants

2nd General Video Game AI Single-Player Learning Competition

Organised at the IEEE’s 2018 Conference on Computational Intelligence and Games (IEEE CIG18)

https://project.dke.maastrichtuniversity.nl/cig2018/?page_id=255

✔️ @ApplyTime

🔰 معرفی موقعیت‌های تحصیلی بیشتر در:👇

🏁 https://news.1rj.ru/str/ApplyTime_Positions

PhD scholarship within agricultural robotics

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant 3 year PhD-position related to agricultural robotics and navigation. 

For more information and to apply for the position, see

https://www.jobbnorge.no/ledige-stillinger/stilling/152245/phd-scholarship-within-agricultural-robotics-refno-18-02674

 

---

Pål Johan From, Ph.D.
Professor

Head of Robotics and Control Group
Faculty of Sciences and Technology
Norwegian University of Life Science
Postbox 5003
1432 Ås
Norway

Room: TF 316
tel: +47 67231603
cel: +47 90690932
e-mail: pafr@nmbu.no

www.nmbu.no/roboticsandcontrol

✔️ @ApplyTime

PhD scholarship within robotic grasping and manipulation


The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD-position related to robotics

The PhD scholarship is part of the project “Robotised cells to obtain efficient meat production for the Norwegian meat industry (MeaTable)”, funded by the Research Council of Norway, with duration: 1 April 2018 – 31 March 2021.

For more information and to apply for the position, see

https://www.jobbnorge.no/ledige-stillinger/stilling/152249/phd-scholarship-within-robotic-grasping-and-manipulation-refno-18-02682

 

---

Pål Johan From, Ph.D.
Professor

Head of Robotics and Control Group
Faculty of Sciences and Technology
Norwegian University of Life Science
Postbox 5003
1432 Ås
Norway

Room: TF 316
tel: +47 67231603
cel: +47 90690932
e-mail: pafr@nmbu.no

www.nmbu.no/roboticsandcontrol

✔️ @ApplyTime

Call for papers: IJCAI Workshop on Learning and Reasoning: Principles & Applications to Everyday Spatial and Temporal Knowledge


http://www.iiia.csic.es/LR2018/

Submission deadline: May 15

Knowledge representation and reasoning (KRR), on the one hand, and machine learning (ML), on the other hand, have largely been developed as independent research trends in artificial intelligence (AI). Human reasoning, however, is often based on an intricate combination of processes that are related to learning (e.g. induction or extrapolation) and processes that are closer to deductive reasoning. Similarly, we can expect that progress in AI will increasingly need to rely on hybrid approaches that combine the explainability and teachability of KRR methods with the robustness and data-driven nature of ML methods. The ambitious aim of truly integrating reasoning and learning beyond one-way linkage raises many new questions, which this workshop hopes to explore. Beyond a study of the underlying principles, this workshop will also focus on applications, with a particular emphasis on the use of spatial and temporal knowledge in everyday tasks. The workshop will serve as a forum for researchers from different fields (including Automated Theorem Proving, Cognitive Computing, Cognitive Robotics, Commonsense Reasoning, Constraint Solving, Logic, Mathematics, Machine Learning, Natural Language Processing, Theoretical Computer Science, Qualitative Reasoning) to discuss open problems, methodology, and recent advancements in the field. It also provides a forum for early career researchers to present their current work and to build up networks. We invite technical contributions mixing or linking advanced ideas from knowledge representation and reasoning with ideas from machine learning or data mining.

Workshop organisers:

Vaishak Belle, University of Edinburgh, UK
Lluís Godo, IIIA - CSIC, Barcelona, Spain
Henri Prade, IRIT, Toulouse, France
Jochen Renz, The Australian National University, Australia
Steven Schockaert, University of Cardiff, UK
Ute Schmid, University of Bamberg, Germany
Diedrich Wolter, University of Bamberg, German

✔️ @ApplyTime

https://apply.refline.ch/673276/0986/pub/1/index.html

✔️ @ApplyTime

28th International Conference on Inductive Logic Programming
September 2nd - 4th 2018, Ferrara, Italy

http://ilp2018.unife.it/

✔️ @ApplyTime

Dear All,

Greetings!!

We cordially invite you to the "25th Edition of International Conference for Ophthalmologists" scheduled to be held on September 10-11, 2018 in Copenhagen, Denmark. The theme of the conference is "Vision Saviours- Protecting Eyes, Empowering Sight".

For more information about the conference visit: Ophthalmology Conferences

Your expertise and experience in this field of work will be an excellent addition to our programme on Ophthalmologists 2018 as many of our visitors look forward to hearing and learning from your work. We want you to be a part of this conference and lead us to the road of success.

We look forward for your confirmed presence at the Copenhagen, Denmark.

Yours sincerely,

Megan Harper| Program Director
ophthalmologists@eurosciconconferences.com
(+44) 020 3807 3712
Bloomsbury Way
Lower Ground Floor
London, United Kingdom
WC1A 2SE.

✔️ @ApplyTime

Hello everyone,

We are seeking to hire a postdoctoral fellow to work in the multi-disciplinary research area of machine learning and health informatics. The postdoctoral fellow will primarily work on a project on detecting aggression in people living with dementia using wearable and ambient sensors. 

The position will be based at Toronto Rehabilitation Institute, University Health Network (TRI-UHN) and University of Toronto (UT) and will be co-supervised by Dr. Shehroz Khan, Scientist at TRI-UHN and Dr. Alex Mihailidis, Professor at UT.

Some information on the project is available here - https://www.researchgate.net/project/Agitation-and-Aggression-Detection-in-Older-Adults-with-Dementia


More details of the job is available here - http://individual.utoronto.ca/shehroz/files/AgitationPrediction_postdoc.pdf. Please follow the instructions to apply.

regards
Dr. Shehroz Khan

✔ @ApplyTime

We are looking for a postdoctoral researcher with expertise in machine learning to work on an exciting collaboration project between Prof. S. Kaski’s team in Finnish Center for Artificial Intelligence FCAI at Aalto University and Janssen Pharmaceutica. The exciting research problem is to learn to infer toxicity of chemicals based on the chemical structure, and the great opportunity is that we have unique data for the learning. This is an outstanding opportunity to both develop new probabilistic machine learning methods and to gain necessary skills to place yourself for success both in the pharmaceutical industry as well as in academia. Janssen Pharmaceutica and FCAI support and expect publication of the outcome of this work in top peer-reviewed journals and scientific conferences. 

Deadline: May 28, 2018
Full details: http://www.aalto.fi/en/about/careers/jobs/view/1854/.

✔ @ApplyTime