#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!
Forwarded from Apply Time
همراهان گرامی،
با توجه به آینده نامعلوم تلگرام در ایران، لطفا با باز کردن لینک زیر در وبسایت اپلای تایم عضو شوید. در صورت بسته شدن کامل تلگرام، راه ارتباطی جدید را برای شما ارسال خواهیم کرد.
http://applytime.ir/register/
با احترام،
اپلای تایم
با توجه به آینده نامعلوم تلگرام در ایران، لطفا با باز کردن لینک زیر در وبسایت اپلای تایم عضو شوید. در صورت بسته شدن کامل تلگرام، راه ارتباطی جدید را برای شما ارسال خواهیم کرد.
http://applytime.ir/register/
با احترام،
اپلای تایم
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✅ Funded PhD position; in Applied Bayesian learning; in Department of Management, Technology and Economics at ETH Zurich, Switzerland
🌐 https://goo.gl/Hs9HZL
✔️ @ApplyTime
🌐 https://goo.gl/Hs9HZL
✔️ @ApplyTime
✅ 2 Postdocs positions; in Scientific Computing and Image Processing; in Computational Biology Group; at ETH Zurich, Switzerland
🌐 https://goo.gl/z2PoGS
✔️ @ApplyTime
🌐 https://goo.gl/z2PoGS
✔️ @ApplyTime
✅ Funded PhD position; in nonlinear optimization, data science and machine learning; at Leiden University; in Netherlands
🌐 https://goo.gl/xQx2Xe
✔️ @ApplyTime
🌐 https://goo.gl/xQx2Xe
✔️ @ApplyTime
✅ Funded Postdoc position; in Artificial Intelligence and Game Playing; at Maastricht University; in Netherlands
🌐 https://goo.gl/HXaauM
✔️ @ApplyTime
🌐 https://goo.gl/HXaauM
✔️ @ApplyTime
✅ Data Science Summer School; at École Polytechnique and DATAIA Institute; Paris, France, 25 – 29 June 2018
🌐 http://www.ds3-datascience-polytechnique.fr/
✔️ @ApplyTime
🌐 http://www.ds3-datascience-polytechnique.fr/
✔️ @ApplyTime
🔰 ۳۱ اُمین نمایشگاه بینالمللی کتاب تهران، ۱۲ تا ۲۲ اردیبهشت ماه
💠 سامانه ثبت نام خرید بن کارت یارانهای کتاب:
🔗 https://goo.gl/qVapto
🕖 مهلت ثبت نام تا ۲ اردیبهشت
✔️ @ApplyTime
💠 سامانه ثبت نام خرید بن کارت یارانهای کتاب:
🔗 https://goo.gl/qVapto
🕖 مهلت ثبت نام تا ۲ اردیبهشت
✔️ @ApplyTime
Forwarded from Apply Time
همراهان گرامی،
با توجه به آینده نامعلوم تلگرام در ایران، لطفا با باز کردن لینک زیر در وبسایت اپلای تایم عضو شوید. در صورت بسته شدن کامل تلگرام، راه ارتباطی جدید را برای شما ارسال خواهیم کرد.
http://applytime.ir/register/
با احترام،
اپلای تایم
با توجه به آینده نامعلوم تلگرام در ایران، لطفا با باز کردن لینک زیر در وبسایت اپلای تایم عضو شوید. در صورت بسته شدن کامل تلگرام، راه ارتباطی جدید را برای شما ارسال خواهیم کرد.
http://applytime.ir/register/
با احترام،
اپلای تایم
Apply Time
Register - Apply Time
Already have an account? Sign in
Name
E-mail Address
Mobile Number
Password
Confirm Password
Only fill in if you are not human
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Dear colleagues,
the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 2.5 years.
The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group.
The positions will be part of the new Machine Learning and Optimization group http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018.
The official job announcement can be seen here:
http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machine-learning.html
Informal inquiries can be sent to Dr. Luigi Malagò <malago@rist.ro>, principal investigator of the DeepRiemann project.
Application deadline: 06 May 2018 (applicants are encouraged to apply earlier)
best regards,
Luigi Malagò
✔️ @ApplyTime
the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 2.5 years.
The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group.
The positions will be part of the new Machine Learning and Optimization group http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018.
The official job announcement can be seen here:
http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machine-learning.html
Informal inquiries can be sent to Dr. Luigi Malagò <malago@rist.ro>, principal investigator of the DeepRiemann project.
Application deadline: 06 May 2018 (applicants are encouraged to apply earlier)
best regards,
Luigi Malagò
✔️ @ApplyTime
rist.ro
Postdoc positions in Deep Learning and Machine Learning - Romanian Institute of Science and Technology
The Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational…
🔵 Sensing Web Social Signals for #Cryptocurrencies #Data_Science & #Computational_Social_Science
#Travel_grant application for ETH CryptoDatathon
Are you a #geek in #data_science ( i.e. #data_mining, #machine_learning, #natural_language_processing, etc. ), #crypto_currency, or #complex_systems? Then, here is a perfect event for you, ETH CryptoDatathon, which stands for Crypto + Data + Hackathon at the main building of ETH Zurich.
The theme of this year is Sensing Web Social Signals for Cryptocurrencies. You are expected to make use of a variety of web data collection, data science, big data, NLP, and visualization techniques to dig into social media to explore its potential effect on the crypto-currency market.
In addition, during this six days' event, distinguished keynote speakers will deliver insights into various topics ranging from computational social science, crypto-currency, information retrieval, complex networks, social networks, and so on.
Now the registration is open. We welcome international participants to apply for the travel grant by simply registration. For selected applicants, we will cover accommodation in part.
For details, you could visit our website https://www.cryptodatathon.com/
For any questions, feel free to drop us a message at nino.antulov@gess.ethz.ch, and tian.guo@gess.ethz.ch
🔰 عزیزانی که علاقه مند هستند در این رویداد که در دانشگاه ETHZ سوئیس (که یکی از 10 دانشگاه برتر دنیا می باشد) شرکت کنند، با ما در ارتباط باشند:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
#Travel_grant application for ETH CryptoDatathon
Are you a #geek in #data_science ( i.e. #data_mining, #machine_learning, #natural_language_processing, etc. ), #crypto_currency, or #complex_systems? Then, here is a perfect event for you, ETH CryptoDatathon, which stands for Crypto + Data + Hackathon at the main building of ETH Zurich.
The theme of this year is Sensing Web Social Signals for Cryptocurrencies. You are expected to make use of a variety of web data collection, data science, big data, NLP, and visualization techniques to dig into social media to explore its potential effect on the crypto-currency market.
In addition, during this six days' event, distinguished keynote speakers will deliver insights into various topics ranging from computational social science, crypto-currency, information retrieval, complex networks, social networks, and so on.
Now the registration is open. We welcome international participants to apply for the travel grant by simply registration. For selected applicants, we will cover accommodation in part.
For details, you could visit our website https://www.cryptodatathon.com/
For any questions, feel free to drop us a message at nino.antulov@gess.ethz.ch, and tian.guo@gess.ethz.ch
🔰 عزیزانی که علاقه مند هستند در این رویداد که در دانشگاه ETHZ سوئیس (که یکی از 10 دانشگاه برتر دنیا می باشد) شرکت کنند، با ما در ارتباط باشند:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
Hello everyone,
Please consider submitting your paper to the 2nd Workshop on AI for Aging, Rehabilitation and Independent Assisted Living (ARIAL) held jointly in Stockholm with IJCAI'2018.
We will accept papers in two formats:
-Short papers - 4 pages (including references) .
-Extended Abstracts / Demo Papers - 2 pages (including references).
Deadline — 25th April'2018
More details about ARIAL and paper submission instructions - https://sites.google.com/view/arial2018/home
Accepted papers to ARIAL will be invited to submit an extended full length paper to the Journal of Healthcare Informatics Research (JHIR - Springer) and a fast track review will be conducted.
regards
✔️ @ApplyTime
Please consider submitting your paper to the 2nd Workshop on AI for Aging, Rehabilitation and Independent Assisted Living (ARIAL) held jointly in Stockholm with IJCAI'2018.
We will accept papers in two formats:
-Short papers - 4 pages (including references) .
-Extended Abstracts / Demo Papers - 2 pages (including references).
Deadline — 25th April'2018
More details about ARIAL and paper submission instructions - https://sites.google.com/view/arial2018/home
Accepted papers to ARIAL will be invited to submit an extended full length paper to the Journal of Healthcare Informatics Research (JHIR - Springer) and a fast track review will be conducted.
regards
✔️ @ApplyTime
Google
ARIAL@IJCAI18
C A L L F O R P A P E R S
DA2PL'2018: From Multiple Criteria Decision Aid to Preference Learning
Poznan University of Technology, Poznan, Poland
November 22-23, 2018
https://da2pl.cs.put.poznan.pl
The DA2PL workshop has been launched with the goal of bringing together researchers from operations research and the decision sciences with scholars from machine learning. It aims at providing a forum for discussing recent advances and identifying new research challenges in the intersection of both fields, which is marked by the growing field of preference learning, thereby supporting a cross-fertilization of these disciplines.
Following the three previous editions of this workshop, which took place in Mons in 2012, Paris in 2014 and Paderborn in 2016, DA2PL'2018 will be held at the Poznan University of Technology (Poznan, Poland).
DA2PL'2018 solicits contributions to the usage of theoretically supported preference models and formalisms in preference learning as well as communications devoted to innovative preference learning methods in decision analysis and multiple criteria decision aiding. Specific topics of interest include, but are not limited to
— quantitative and qualitative approaches to modeling preferences, user feedback and training data
— preference representation in terms of graphical models, logical formalisms, and soft constraints
— dealing with incomplete and uncertain preferences
— preference aggregation and disaggregation
— learning utility functions using regression-based approaches
— preference elicitation and active learning
— preference learning in combinatorial domains
— learning relational preference models and related regression problems
— classification problems, such as ordinal and hierarchical classification
— inducing monotonic decision models for preference representation
— comparison of different preference learning paradigms (e.g., monolithic vs. decomposition)
— ranking problems, such as object ranking, instance ranking and label ranking
— complementarity of preference models and hybrid methods
— explanation of recommendations
— applications of preference learning, such as web search, information retrieval, electronic commerce, games, personalization, recommender systems, etc.
Submissions
Submissions must be written in English and formatted according to the electronic template that is available on the conference website. The page limit is 8 for full papers, although extended abstracts (two pages as the maximum) are welcome, too. Submissions are managed through www.easychair.org. Each paper submitted to DA2PL will be reviewed by two referees.
We also provide an opportunity for doctoral students to explore and develop their research interests. A special session at the conference will be devoted for PhD students to present and discuss their ongoing research work. Therefore we encourage young researchers to submit their work also via submission site.
Important Dates
Paper submission deadline: September 1, 2018
Author notification: September 30, 2018
Camera-ready version: November 3, 2018
Conference: November 22-23 (Thursday,Friday), 2018
Organization and Contact
Conference Chairs: Krzysztof Dembczynski, Poznan University of Technology (krzysztof.dembczynski@cs.put.poznan.pl), Milosz Kadzinski, Poznan University of Technology (milosz.kadzinski@cs.put.poznan.pl)
Program Chairs: Eyke Hüllermeier, Paderborn University (eyke@upb.de), Vincent Mousseau, CentraleSupélec, Paris (vincent.mousseau@centralesupelec.fr)
✔️ @ApplyTime
DA2PL'2018: From Multiple Criteria Decision Aid to Preference Learning
Poznan University of Technology, Poznan, Poland
November 22-23, 2018
https://da2pl.cs.put.poznan.pl
The DA2PL workshop has been launched with the goal of bringing together researchers from operations research and the decision sciences with scholars from machine learning. It aims at providing a forum for discussing recent advances and identifying new research challenges in the intersection of both fields, which is marked by the growing field of preference learning, thereby supporting a cross-fertilization of these disciplines.
Following the three previous editions of this workshop, which took place in Mons in 2012, Paris in 2014 and Paderborn in 2016, DA2PL'2018 will be held at the Poznan University of Technology (Poznan, Poland).
DA2PL'2018 solicits contributions to the usage of theoretically supported preference models and formalisms in preference learning as well as communications devoted to innovative preference learning methods in decision analysis and multiple criteria decision aiding. Specific topics of interest include, but are not limited to
— quantitative and qualitative approaches to modeling preferences, user feedback and training data
— preference representation in terms of graphical models, logical formalisms, and soft constraints
— dealing with incomplete and uncertain preferences
— preference aggregation and disaggregation
— learning utility functions using regression-based approaches
— preference elicitation and active learning
— preference learning in combinatorial domains
— learning relational preference models and related regression problems
— classification problems, such as ordinal and hierarchical classification
— inducing monotonic decision models for preference representation
— comparison of different preference learning paradigms (e.g., monolithic vs. decomposition)
— ranking problems, such as object ranking, instance ranking and label ranking
— complementarity of preference models and hybrid methods
— explanation of recommendations
— applications of preference learning, such as web search, information retrieval, electronic commerce, games, personalization, recommender systems, etc.
Submissions
Submissions must be written in English and formatted according to the electronic template that is available on the conference website. The page limit is 8 for full papers, although extended abstracts (two pages as the maximum) are welcome, too. Submissions are managed through www.easychair.org. Each paper submitted to DA2PL will be reviewed by two referees.
We also provide an opportunity for doctoral students to explore and develop their research interests. A special session at the conference will be devoted for PhD students to present and discuss their ongoing research work. Therefore we encourage young researchers to submit their work also via submission site.
Important Dates
Paper submission deadline: September 1, 2018
Author notification: September 30, 2018
Camera-ready version: November 3, 2018
Conference: November 22-23 (Thursday,Friday), 2018
Organization and Contact
Conference Chairs: Krzysztof Dembczynski, Poznan University of Technology (krzysztof.dembczynski@cs.put.poznan.pl), Milosz Kadzinski, Poznan University of Technology (milosz.kadzinski@cs.put.poznan.pl)
Program Chairs: Eyke Hüllermeier, Paderborn University (eyke@upb.de), Vincent Mousseau, CentraleSupélec, Paris (vincent.mousseau@centralesupelec.fr)
✔️ @ApplyTime
Earth Day - together, worldwide for our planet.
Since 1970 people are celebrating on April 22nd worldwide in honor of the Planet!
✔️ @ApplyTime
Since 1970 people are celebrating on April 22nd worldwide in honor of the Planet!
✔️ @ApplyTime