💰 I am looking for a #postdoc to join the research group on Social Complexity and Collapse at the #CSHVienna: https://t.co/pIUIu43UXL
Here's the position description:
https://t.co/fWON3Yp9RP
Please spread the word!
Here's the position description:
https://t.co/fWON3Yp9RP
Please spread the word!
The listed of Invited Speakers has been posted for Conference on Applications of Dynamical Systems (#SIAMDS21, #SnowbirdForever): https://t.co/AscRd3jUNy
Statistical physics and machine learning with David J. Schwab, (The Graduate Center, CUNY)
Part I:
Part II:
🔸About the lecture
🔹 Adventures in the Theoretical Sciences
Part I:
Part II:
🔸About the lecture
🔹 Adventures in the Theoretical Sciences
YouTube
Part 1: Statistical physics and machine learning with David J. Schwab
June 18, 2020 "Statistical physics and machine learning" David J. Schwab (The Graduate Center, CUNY). Adventures in the Theoretical Sciences is an informal, online summer lecture series for advanced undergraduate and graduate students. #AdventuresinTheory…
Here is the schedule for the 2020 SIAM Workshop on Network Science (#SIAMNS20): https://t.co/1GwB64D0mp
NS20 is being held virtually July 9 and 10, 2020 with free registration.
NS20 is being held virtually July 9 and 10, 2020 with free registration.
Introduction to stochastic PDEs by Fields medalist Martin Hairer https://t.co/Kat2n99Lyk [pdf]
Forwarded from انجمن فیزیک ایران
✅ دومین سمینار ماهانه اطلاعات کوانتومی
شورای اجرایی شاخه علوم و فناوری اطلاعات کوانتومی انجمن فیزیک ایران، سمینارهای ماهانه اطلاعات کوانتومی را به صورت مجازی هر ماه برگزار میکند.دومین سمینار این شاخه با عنوان الگوهای یادگیری ماشینهای کوانتومی با سخنرانی آقای دکتر محمدعلی جعفریزاده از دانشگاه تبریز، پنجشنبه ۵ تیرماه ۱۳۹۹ ساعت ده صبح ...
📣 متن کامل را در Instant View ⚡️ (دکمه پایین صفحه) و یا در وبگاه انجمن فیزیک ایران بخوانید:
🚩https://www.psi.ir/news2_fa.asp?id=3075
⏪ وبگاه انجمن فیزیک ایران:
🌍 https://www.psi.ir
✅ به کانال خبرى انجمن فیزیک ايران بپيوندید:
👇👇🏽👇👇🏽👇👇🏽👇
https://t.iss.one/psinews
شورای اجرایی شاخه علوم و فناوری اطلاعات کوانتومی انجمن فیزیک ایران، سمینارهای ماهانه اطلاعات کوانتومی را به صورت مجازی هر ماه برگزار میکند.دومین سمینار این شاخه با عنوان الگوهای یادگیری ماشینهای کوانتومی با سخنرانی آقای دکتر محمدعلی جعفریزاده از دانشگاه تبریز، پنجشنبه ۵ تیرماه ۱۳۹۹ ساعت ده صبح ...
📣 متن کامل را در Instant View ⚡️ (دکمه پایین صفحه) و یا در وبگاه انجمن فیزیک ایران بخوانید:
🚩https://www.psi.ir/news2_fa.asp?id=3075
⏪ وبگاه انجمن فیزیک ایران:
🌍 https://www.psi.ir
✅ به کانال خبرى انجمن فیزیک ايران بپيوندید:
👇👇🏽👇👇🏽👇👇🏽👇
https://t.iss.one/psinews
t.iss.one
دومین سمینار ماهانه اطلاعات کوانتومی
#PhD Students, in Mathematics, Physics, Astronomy and Computer Science on the Subject of Unravelling Neural Networks with Structure-preserving Computing (Unravel)
Job description
Requirements
Candidates are required to have a Master’s degree in mathematics, physics, astronomy, computer science or a related discipline, and experience with scientific programming, e.g. Matlab, Python, C and C++. A strong background in applications, knowledge of numerical analysis, ordinary and partial differential equations, discretization techniques, machine learning and neural networks will be beneficial. Preferable qualifications for candidates include proven research talent, an excellent command of English, good academic writing and presentation skills and a creative pro-active team player.
Job description
Requirements
Candidates are required to have a Master’s degree in mathematics, physics, astronomy, computer science or a related discipline, and experience with scientific programming, e.g. Matlab, Python, C and C++. A strong background in applications, knowledge of numerical analysis, ordinary and partial differential equations, discretization techniques, machine learning and neural networks will be beneficial. Preferable qualifications for candidates include proven research talent, an excellent command of English, good academic writing and presentation skills and a creative pro-active team player.
https://sinm.network/
The NetSci main conference will be streamed from 13-18h CET, and the talks will be recorded. No official information has been given by the overall satellite organization, but I think it's safe to assume it will be the same.
The NetSci main conference will be streamed from 13-18h CET, and the talks will be recorded. No official information has been given by the overall satellite organization, but I think it's safe to assume it will be the same.
Registration is open for our new course, Computation in Complex Systems, with Cris Moore! Learn #computerscience in a clear & enjoyable class:
Easy & Hard
Algorithms & Landscapes
P vs NP
Worst-case, Natural, & Random
Computation Everywhere
https://t.co/IDwq6Np60Q
Easy & Hard
Algorithms & Landscapes
P vs NP
Worst-case, Natural, & Random
Computation Everywhere
https://t.co/IDwq6Np60Q
Forwarded from انجمن علمی ژرفا
🦠 لایو اینستاگرامی صفحهی علم روز با موضوع "سیستمهای پیچیده و پیشبینی شیوع کرونا"
🔸 با حضور دکتر فاخته قنبرنژاد (دانشگاه صنعتی شریف)
🔹 پنجشنبه، ۵ تیرماه؛ ساعت ۱۹
® @sciencetoday_ir
🆔 @Zharfa90
🔸 با حضور دکتر فاخته قنبرنژاد (دانشگاه صنعتی شریف)
🔹 پنجشنبه، ۵ تیرماه؛ ساعت ۱۹
® @sciencetoday_ir
🆔 @Zharfa90
💡 Easy Parallel Computing with IPython
https://andrewmellor.co.uk/blog/articles/2015/04/30/easy-parallel/
https://andrewmellor.co.uk/blog/articles/2015/04/30/easy-parallel/
Andrew Mellor
Easy Parallel Computing with IPython
After speaking to a number of academics involved with Monte Carlo simulations, I realised many of them resort to creating bash scripts to run a number of python instances of simulation before writing another script to piece the data back together. It turns…
🎞 Mathematics of Big Data and Machine Learning
This course introduces the Dynamic Distributed Dimensional Data Model (D4M), a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data. Search, social media, ad placement, mapping, tracking, spam filtering, fraud detection, wireless communication, drug discovery, and bioinformatics all attempt to find items of interest in vast quantities of data. This course teaches a signal processing approach to these problems by combining linear algebraic graph algorithms, group theory, and database design. This approach has been implemented in software. The class will begin with a number of practical problems, introduce the appropriate theory, and then apply the theory to these problems. Students will apply these ideas in the final project of their choosing. The course will contain a number of smaller assignments which will prepare the students with appropriate software infrastructure for completing their final projects.
https://ocw.mit.edu/resources/res-ll-005-mathematics-of-big-data-and-machine-learning-january-iap-2020/index.htm
This course introduces the Dynamic Distributed Dimensional Data Model (D4M), a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data. Search, social media, ad placement, mapping, tracking, spam filtering, fraud detection, wireless communication, drug discovery, and bioinformatics all attempt to find items of interest in vast quantities of data. This course teaches a signal processing approach to these problems by combining linear algebraic graph algorithms, group theory, and database design. This approach has been implemented in software. The class will begin with a number of practical problems, introduce the appropriate theory, and then apply the theory to these problems. Students will apply these ideas in the final project of their choosing. The course will contain a number of smaller assignments which will prepare the students with appropriate software infrastructure for completing their final projects.
https://ocw.mit.edu/resources/res-ll-005-mathematics-of-big-data-and-machine-learning-january-iap-2020/index.htm
MIT OpenCourseWare
Mathematics of Big Data and Machine Learning
This course introduces the Dynamic Distributed Dimensional Data Model (D4M), a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data. Search, social media, ad placement…
💡 Des Higham wrote a wonderfully clear paper about why our friends tend to be more popular, on average, than we are. It follows from Cauchy-Schwarz inequality! Then he generalizes this “friendship paradox” to importance (measured by eigenvector centrality). https://t.co/kQcHKEKtoU
OUP Academic
Centrality-friendship paradoxes: when our friends are more important than us
Abstract. The friendship paradox states that, on average, our friends have more friends than we do. In network terms, the average degree over the nodes can nev
A #postdoc position on Machine Learning Glasses? See https://t.co/NMiIaGbFRL and join us to crack the glass problem with Graph Neural Networks and the Swap Monte Carlo algorithm!
5th Int'l Summer School on Data Science (SSDS 2020)!
The Summer School is organized by the Center of Research Excellence for Data Science and Advanced Cooperative Systems, Research Unit for Data Science, from September 7-11, 2020 as a virtual summer school.
https://sites.google.com/view/ssdatascience2020/
The Summer School is organized by the Center of Research Excellence for Data Science and Advanced Cooperative Systems, Research Unit for Data Science, from September 7-11, 2020 as a virtual summer school.
https://sites.google.com/view/ssdatascience2020/
Google
5th Int'l Summer School on Data Science (SSDS 2020)
Hi,
Ahmed El Hady and I are writing to you to request your participation in a brief survey (less than 10 minutes). We are interested in how people from different disciplines define “behavior”. If you are willing to answer some questions on what constitutes behavior, please take the survey (link below)!
Survey participants can enter to win a $50 Amazon gift card.
Survey link: https://princetonsurvey.az1.qualtrics.com/jfe/form/SV_aWUZqxtDbUCFGg5
Your participation in the survey is completely voluntary and all of your responses will be kept confidential. No personally identifiable information will be associated with your responses to any reports of these data. The Princeton Institutional Review Board has approved this survey.
Should you have any comments or questions, please feel free to contact me at [email protected].
Thank you very much for your time and cooperation.
Sincerely,
Adam Calhoun and Ahmed El Hady
Ahmed El Hady and I are writing to you to request your participation in a brief survey (less than 10 minutes). We are interested in how people from different disciplines define “behavior”. If you are willing to answer some questions on what constitutes behavior, please take the survey (link below)!
Survey participants can enter to win a $50 Amazon gift card.
Survey link: https://princetonsurvey.az1.qualtrics.com/jfe/form/SV_aWUZqxtDbUCFGg5
Your participation in the survey is completely voluntary and all of your responses will be kept confidential. No personally identifiable information will be associated with your responses to any reports of these data. The Princeton Institutional Review Board has approved this survey.
Should you have any comments or questions, please feel free to contact me at [email protected].
Thank you very much for your time and cooperation.
Sincerely,
Adam Calhoun and Ahmed El Hady
Qualtrics
Online Survey Software | Qualtrics Survey Solutions
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