Complex Systems Studies

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

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.

#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.

✅ 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: 🚩http://www.psi.ir/news2_fa.asp?id=3075 ⏪ وب‌گاه انجمن فیزیک ایران: 🌍 http://www.psi.ir ✅ به کانال خبرى انجمن فیزیک ايران بپيوندید: 👇👇🏽👇👇🏽👇👇🏽👇 http://t.me/psinews

Introduction to stochastic PDEs by Fields medalist Martin Hairer https://t.co/Kat2n99Lyk [pdf]

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.

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

The listed of Invited Speakers has been posted for Conference on Applications of Dynamical Systems (#SIAMDS21, #SnowbirdForever): https://t.co/AscRd3jUNy

🎞 https://www.aparat.com/v/7E94M

💰 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!

Just released a #python porting of multinet library: https://t.co/Ztmv86q3UY Resources (including an example notebook): https://t.co/eKCcumppLN Comments/feedback welcome, code & issues here: https://t.co/aWd8hdq2Yy

Crazy fast code for SIR on temporal networks https://petterhol.me/2018/07/23/crazy-fast-code-for-sir-on-temporal-networks/ Fastest network-SIR code in the East https://petterhol.me/2018/02/07/fastest-network-sir-code-in-the-east/

Ellis QPhML 2020 https://ellisqphml.github.io/qphml2020 This conference is a hidden gem on physics & ML with a great lineup. Full of physicists who worked on ML its theory or its quantum aspects for decades.

Very strong start of the virtual KITP program "Biological Physics of Chromosomes". https://t.co/5AEnc3UsD6 Looking forward to a month of exciting talks and discussions!

〽️آیا از اینکه خوب مفاهیم آمار و احتمال رو متوجه نمی‌شوید، خسته شده‌اید؟ پس این صفحه حتما به دردتون می‌خوره :) پ ن: واقعا چینی‌ها خوبن، تا یک چیز خوبی درست میشه، سریع به چینی هم ترجمه می‌کنن که مردمانشون استفاده کنن .... https://seeing-theory.brown.edu/#firstPage

Optimization of Scientific Code with Cython: Ising Model http://jakevdp.github.io/blog/2017/12/11/live-coding-cython-ising-model/

Animating the Lorenz System in 3D http://jakevdp.github.io/blog/2013/02/16/animating-the-lorentz-system-in-3d/

Conway's Game of Life in Python In 1970 the British Mathematician John Conway created his "Game of Life" -- a set of rules that mimics the chaotic yet patterned growth of a colony of biological organisms. The "game" takes place on a two-dimensional grid consisting of "living" and "dead" cells, and the rules to step from generation to generation are simple. I was thinking about classic problems that could be used to demonstrate the effectiveness of Python for computing and visualizing dynamic phenomena, and thought back to a high school course I took where we had an assignment to implement a Game Of Life computation in C++. If only I'd had access to IPython and associated tools back then, my homework assignment would have been a whole lot easier! Here I'll use Python and NumPy to compute generational steps for the game of life, and use my JSAnimation package to animate the results. http://jakevdp.github.io/blog/2013/08/07/conways-game-of-life/

Frequentism and Bayesianism: 5-part series: Part I, Part II, Part III, Part IV, Part V See also Frequentism and Bayesianism: A Python-driven Primer, a peer-reviewed article partially based on this content.