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Associate Professor of Data Science at Department of Computer Science, University of Copenhagen

https://goo.gl/dnjEa2

✔️ @ApplyTime

1.68K views10:04

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#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!

2.07K views15:25

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Apply Time pinned «#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…»

07:36

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#ApplyTime #Apply #Alg #Guidance #G1

💎 لینک‌های درون کانالی، مفید برای به اختصار آشنا شدن با #روال کار اپلای:

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✔️ @ApplyTime

6.65K viewsedited 09:23

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#ApplyTime #Apply #SoP #Guidance #G2

💎 لینک‌های درون کانالی، که به شما در نوشتن یک #انگیزه‌نامه (یا #کاورلتر) مناسب کمک می‌کنند:

🌐 https://news.1rj.ru/str/ApplyTime/1379

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🌐 https://news.1rj.ru/str/ApplyTime/2831

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✔️ @ApplyTime

7.07K viewsedited 09:41

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2.29K views10:02

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2.19K views10:15

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#ApplyTime #Poetry

می‌دانی
دختر است دیگر
جهان را جور دیگری می‌بیند

دوست دارد لب پنجره
رو به آن خیابان شلوغ ِ بی‌رحم بخندد

آواز سر دهد در تاریکی مطلق
در تاریکی مطلق آن شبی که آن رشوه‌های لعنتی
عاقبت دامن هیولای تاریکی را گرفته بود

دوست دارد شعر بخواند
در حالی که آن اهریمن مخوف
مست و پاتیل، افسار زنان
بر ارابه‌ی طلایی خود می‌تازد

گاهی می‌خواهد خودش را لوس کند
برای آن سرو بلند و سایه سارش
که آن تندباد بی‌درنگ
با اختلاس برگ‌هایش
سایه‌اش را ربوده بود

گاهی دوست دارد گریه کند
با آن اشک‌های شور و شفافش
مدام و مداوم گریه کند
آنقدر که برای پر کردن دریاچه‌ای می‌توانست کفایت کند
حتی تا وقتی که غرش سیاه آن طوفان غبارآلود
می‌رفت که وحشت‌انگیز
چشمه‌ی اشک او را بخشکاند

گاهی دوست دارد جلوی آیینه بایستد
خود را رنگ آمیزی کند
با آن مداد رنگی آبی کم رنگ
عکس رودی را
روی گونه‌های گل کرده‌اش
از شرق به غرب
به آنجا که کول می‌کرد
اشک‌های تنهایی نامیمونش را
از شمال به جنوب
و رودی که رفته رفته قرمز می‌شود
و تو نبودی که ببینی
جهانی را که به آراستگی‌اش لبخند می‌زند

گاهی دوست دارد اشوه‌کنان
به تماشا بنشیند
آن آسمان ابرآلودی که شکل پلنگ خفته‌ای را به خود گرفته است
آن شیروانی را که با کنسرت تگرگ‌های بی‌وقفه سوراخ سوراخ می‌شود
ناز کنان ایستاده با لبخند، بی توجه به گلوله‌ها
تا دل آن تفنگ سرپر را خالی کند

و گاهی دوست دارد برقصد
رو به دوربین
روی آن سِن تئاتری که
همه‌ی بلیت‌های خاک گرفته‌اش
پشت آن شترهای دو کوهان
از درب جنوبی خانه‌ی پدری
به یغما رفت

✔️ @ApplyTime

2.46K views22:18

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Postdoctoral Associate position, MIT Aerospace Controls Laboratory (ACL), Department of Aeronautics and Astronautics (http://acl.mit.edu)

Term: 09/2018-10/2019, with possible extension to 2 years.

Qualifications: Ph.D. in a field related to autonomy, planning, and control, and a strong background in large-scale sequential decision-making, Bayesian nonparametric learning, and/or Deep Reinforcement Learning. Experience in the areas of robotics, UAVs, and multi-agent planning & learning are of particular interest.

Particular research topics of interest include:
- Distributed/decentralized planning and learning
- POMDPs, Dec-POMDPs, multi-agent reinforcement learning
- Processing perception data for self-driving cars

Please send a PDF of your CV, any relevant paper links, and the names of
3 references to acl-applicants@mit.edu

Positions are available immediately.
CLOSING DATE: 31 Aug 2018 (noon MIT time)

✔️ @ApplyTime

2.88K views12:12

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Dear ...,

This 18 months postdoc position is offered at Inria Lille - Nord Europe.
Expected begin date range between November 2018 and March 2019.

Details and application form at:
https://jobs.inria.fr/public/classic/en/offres/2018-00808

I will attend ICML next week, please contact me if you want to discuss the project.

Regards,
Pascal Germain
http://researchers.lille.inria.fr/pgermain/

✔️ @ApplyTime

2.53K views12:56

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🎯 راهی که یک استاد دانشگاه طی می‌کند تا به موفقیتی بزرگ برسد، چگونه مسیری است؟

🖥 با هم به تماشای مصاحبه‌ی کوتاهی با جفری هینتون می‌نشینیم.

🔍 او را گوگل کنید و در موردش بیشتر بخوانید:‌

Geoffrey Hinton

🙏 لطفا ما را در آپارات دنبال کنید، و در آنجا منتظر ویدئوهای ما باشید:

✔️ @ApplyTime
It's learning time. Let's go!

🎥https://www.aparat.com/v/3HQTs

آپارات - سرویس اشتراک ویدیو

پدر خوانده ی هوش مصنوعی، جفری هینتون.

او در این ویدئو به طور مختصر در مورد روند پیدایش یادگیری عمیق توضیح می دهد. سرگذشت موفقیت وی می تواند الهام بخش و چراغ راه ما باشد.

https://news.1rj.ru/str/ApplyTime

3.03K viewsedited 17:43

Apply Time

Hello All,

Below are two job postings for the IBM Watson AI XPRIZE. We need someone with either a strong background in machine learning [0], or someone with strong scientific credentials including human subjects methods [1].

Both roles are a mixture of research and building evaluation processes for teams active in the $5 million prize competition. Feel free to email me directly for additional details.

Best,
Sean McGregor

[0] Technical Centered:
https://www.xprize.org/about/careers/join-our-team?postid=JRwtyzxaqt4
[1] Science/Evaluation Centered:
https://www.xprize.org/about/careers/join-our-team?postid=pkohJDf47bg

✔ @ApplyTime

2.19K viewsedited 14:59

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PhD positions KU Leuven (ERC Advanced grant E-DUALITY: Exploring Duality for Future Data-driven Modelling)

PhD and Postdoc positions KU Leuven (ERC Advanced grant E-DUALITY)

The research group KU Leuven ESAT-STADIUS is currently offering 3 PhD and 3 Postdoc (1 year, extendable) positions within the framework of the ERC (European Research Council) Advanced Grant E-DUALITY http://www.esat.kuleuven.be/stadius/E (PI: Johan Suykens) on Exploring Duality for Future Data-driven Modelling.

Within this ERC project E-DUALITY we aim at realizing a powerful and unifying framework (including e.g. kernel methods, support vector machines, deep learning, multilayer networks, tensor-based models and others) for handling different system complexity levels, obtaining optimal model representations and designing efficient algorithms.

The research positions relate to the following possible topics:
-1- Duality principles
-2- Multiple data sources and coupling schemes
-3- Manifold learning and semi-supervised schemes
-4- Optimal prediction schemes
-5- Scalability, on-line updating, interpretation and visualization
-6- Mathematical foundations
-7- Matching model to system characteristics

For further information and on-line applying, see
https://www.kuleuven.be/personeel/jobsite/jobs/54681979" (PhD positions) and
https://www.kuleuven.be/personeel/jobsite/jobs/54681807" (Postdoc positions)
(click EN for English version).

The research group ESAT-STADIUS http://www.esat.kuleuven.be/stadius at the university KU Leuven Belgium provides an excellent research environment being active in the broad area of mathematical engineering, including data-driven modelling, neural networks and machine learning, nonlinear systems and complex networks, optimization, systems and control, signal processing, bioinformatics and biomedicine.

✔ @ApplyTime

2.79K views15:00

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🔆 50 موقعیت و بورسیه‌ی تحصیلی جدید در مقاطع گوناگون، رشته های متنوع و کشورهای مختلف معرفی شد:👇

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

💎در صورت تمایل می‌توانید موقعیت‌ها و بورسیه‌های تحصیلی را زودتر و کامل‌تر در وبسایت اپلای‌تایم ببینید:

🌐 applytime.ir

✔️ @ApplyTime

2.34K views11:44

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Postdoc positions and PhD scholarships (with top-ups) at Macquarie University, Sydney, Australia

We are building a new Centre for Research in AI and Language (CRAIL) at Macquarie University, Sydney, Australia, focusing on Deep Learning for NLP and AI. Research topics include Parsing, Dialog, Deep Unsupervised Learning, Language in Context, Vision and Language and Language for Robot Control. We are recruiting top PhD Students and Postdoctoral Researchers with generous pay and top-up scholarships. Successful candidates will have a proven research track record in NLP or ML and expertise in Deep Learning. Complete applications must be received through the university's on-line application system by 31st July 2018.
For more information contact Mark.Johnson@MQ.edu.au

✔ @ApplyTime

2.94K viewsedited 19:31

Apply Time

Postdoc vacancy in Influence-based decision-making in uncertain environments at TU Delft

INFLUENCE is situated in the intersection of machine learning, reinforcement learning and multiagent systems. The aim of the project is to investigate how to scale up methods for automated decision making for complex systems.

In particular, we will focus on using machine learning techniques to learn representations of 'influence' (e.g. how certain parts of the system affect other parts), and using such representations to scale up decision making. INFLUENCE will focus on two problems domains:
-coordinated control of traffic lights in a large city
-autonomous warehousing with teams of robots
(But also other domains can be considered).

Currently I am recruiting for the following position:

Postdoc in Influence-based Abstraction, Learning and Coordination (3 years)
This position will focus on algorithmic and theoretical aspects of decision making under uncertainty and multiagent learning and coordination. The candidate should have an excellent track record in the general area of machine learning, reinforcement learning or planning under uncertainty, as evidenced by publications at top-tier venues, and should have demonstrable experience in theoretical analysis of algorithms (e.g., proving approximation or sample bounds).

Full requirements and application instructions:
https://www.academictransfer.com/en/46318/postdoc-in-influence-based-abstraction-learning-and-coordination/

More information:

For more information, please see:
https://www.fransoliehoek.net/wp/vacancies/

(in addition to the aforementioned post-specific URLs.)

Informal inquiries are welcome and can be directed to myself:
Dr. Frans Oliehoek <f.a.oliehoek@tudelft.nl>.
Also feel free to approach me during IJCAI.

✔️ @ApplyTime

3.29K views12:38

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13.3K views16:15

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Research Assistant / PhD Student in the field of Autonomous Driving, at Bundeswehr University Munich

https://goo.gl/SpszZ1

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3.5K views11:16

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A postdoc is sought to join a HFSP-funded project to study analog cortical computations in linguistic processes. A collaboration with Naama Friedmann (TAU) and Remi Monasson (ENS) which includes, at SISSA, Sara Andreetta and several PhD students. Ideal candidates are interested in language but have expertise in mathematical approaches to neural computation - complementary to Sara's in behaviour. A fruitful interaction with Remi and his group may lead to a period based in Paris. Applications to be submitted by August 6, 2018, as indicated in

https://www.sissa.it/bandi/selezione-pubblica-titoli-conferimento-di-n-1-assegno-di-ricerca-area-neuroscienze-refprof-1

(note: by 1pm!) with starting date Oct 1st. Inquiries at ale@sissa.it

✔️ @ApplyTime

2.9K views08:53

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Postdoctoral Position in Machine Learning at MIT

Hi All,

Massachusetts Institute of Technology's Lab for Computational Physiology at Institute for Medical Engineering & Science (IMES) has an immediate opening for a Postdoctoral Associate in Machine Learning for Medicine.
We are seeking a highly-motivated individual to join a multidisciplinary research team to develop machine learning techniques for treatment decision support. The project offers opportunities to develop/apply novel machine learning and reinforcement learning techniques to derive insights from heterogeneous observational data from electronic health
records as well as multivariate physiological signals from patient monitors.

The ideal candidate will have demonstrated an outstanding capability for independent research and a solid publication record in top-tier machine learning, AI conferences. Candidate must hold a Ph.D. degree in Computer Science, Machine Learning, Statistics, or a related field. Knowledge and experience in one or more of the following areas would be desirable:
deep learning, representation learning, generative models, transfer and multi-task learning, reinforcement learning, high-dimensional
multivariate time series analysis, dynamical systems and state-space models. Experience in causal inference, machine learning for healthcare, clinical medicine, or physiological time series analysis would be a plus, but not required. In addition to a curriculum vitae, applicants should submit a short statement of research interest to Li Lehman (lilehman@mit.edu).

For more details, please see http://web.mit.edu/lilehman/www/postdoc.html

Li-wei Lehman, Ph.D.

Research Scientist
Laboratory for Computational Physiology
Institute for Medical Engineering & Science
Massachusetts Institute of Technology
http://web.mit.edu/lilehman/www/

✔️ @ApplyTime

2.79K viewsedited 09:48

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PhD scholarships on Machine Learning Research at the University of Technology Sydney, Australia

We are inviting applications for PhD scholarships on machine learning and data mining research at the Advanced Analytics Institute, the University of Technology Sydney, Australia.

The Advanced Analytics Institute has one of the most productive research and development groups worldwide in the data analytics field for its high-quality Research, high-calibre analyst Education, and high-impact industry Development. It has been in research partnerships with more than 20 major organisations, including Microsoft, AMP, Centrelink, Westpac, NAB, CBA, ATO, IAG, etc.

- Required Qualification and experience: Applicants will hold or be close to completing an Honours or Master's (with a Research Component) Degree in Computer Science or other related fields. Prior publications or working experience in data mining and machine learning fields is required.

- Duration of Scholarship: 3 years with a possible 6 months extension.

- Amount of Scholarship: Approximately AU$53,000 per annum (covering living stipend and tuition fee) plus possible industry project top-up 5k-12k p.a.

Interested candidates are invited to send (1) CV, (2) Bachelor degree academic trannoscripts, and (3) previously published papers or a statement of related working experience to Dr Wei Liu at PhDApplication.WL@gmail.com by 27 July 2018.

✔️ @ApplyTime

👍1

2.33K views09:52

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