How to apply:
Online application:
http://indico.ictp.it/event/8706/
Female students and scientists are
encouraged to apply.

DEADLINE: 18/04/2019

Deadline for registration and paper submission

is extended to:

April 12, 2019
23 Farvardin, 1398

https://iasbs.ac.ir/seminars/condmat-meeting/m25/

We're hiring a Postdoctoral Fellow in computational neuroscience @AarhusUni and UCL @MPC_CompPsych - deadline May 1st! Please apply, RT, and share this fantastic chance to join us @visceral_mind! More details in thread below.
https://t.co/XXLytuRShS

🎞 Stanford CS234: Reinforcement Learning | Winter 2019 - with Emma Brunskill
https://t.co/tmP8ISn7M9

🔸 Symmetry-enhanced discontinuous phase transition in a two-dimensional quantum magnet https://t.co/MtCsAvdJVd

🎚 Mindscape Episode 41: Steven Strogatz on Synchronization, Networks, and the Emergence of Complex Behavior.
#MindscapePodcast

https://t.co/Z9Lx1YTINa

🌡 Temperature in and out of equilibrium: a review of concepts, tools and attempts

https://arxiv.org/pdf/1711.03770

‍‍‍A. Puglisi, A. Sarracino, A. Vulpiani
(Submitted on 10 Nov 2017)

Abstract:
We review the general aspects of the concept of temperature in equilibrium and non-equilibrium statistical mechanics. Although temperature is an old and well-established notion, it still presents controversial facets. After a short historical survey of the key role of temperature in thermodynamics and statistical mechanics, we tackle a series of issues which have been recently reconsidered. In particular, we discuss different definitions and their relevance for energy fluctuations. The interest in such a topic has been triggered by the recent observation of negative temperatures in condensed matter experiments. Moreover, the ability to manipulate systems at the micro and nano-scale urges to understand and clarify some aspects related to the statistical properties of small systems (as the issue of temperature's "fluctuations"). We also discuss the notion of temperature in a dynamical context, within the theory of linear response for Hamiltonian systems at equilibrium and stochastic models with detailed balance, and the generalised fluctuation-response relations, which provide a hint for an extension of the definition of temperature in far-from-equilibrium systems. To conclude we consider non-Hamiltonian systems, such as granular materials, turbulence and active matter, where a general theoretical framework is still lacking.

🎞 https://www.ted.com/talks/vittorio_loreto_need_a_new_idea_start_at_the_edge_of_what_is_known

سومین کارگاه یادگیری ماشینی در فیزیک: کاربردها در نجوم و کیهان‌شناسی
۱۱ و ۱۲ اردیبهشت ۱۳۹۸
دانشکده فیزیک، دانشگاه شهید بهشتی

http://www.psi.ir/farsi.asp?page=wml98

🔹 University of Chicago statistics professor, Stephen Stigler, writes a nice article, The Epic Story of Maximum Likelihood.

https://t.co/fXKDyVFLht

طراحی و ساخت میکروسکوپ نوری با قابلیت تصویر برداری از نورون‌های مغز در گروه دکتر برادران قاسمی در دانشگاه شهید بهشتی

Detecting Phase Transitions with Artificial Neural Networks

https://www.thphys.uni-heidelberg.de/~cqc/Slides/2017-05-02_Sebastian_Wetzel_CQC2017v2.pdf

☘ https://irreverentmind.wordpress.com/2019/01/29/what-is-entropy/amp/

🎞 https://vimeo.com/328969610

Now all the keynote/invited talks of #NERCCS2019 are up on Vimeo!!
https://t.co/2LgvMkBjRK

How to apply:
Online application:
http://indico.ictp.it/event/8847/
Deadline:
18 April 2019

💰 Are you starting on the path to a job in #datascience? Check out this talk by Chang Lee, Lowe's Data Scientist, where he discusses his experience of going into industry and provides guidelines and tips that save time and help avoid potential frustrations. https://t.co/XqO9Gb99cY

🔸What does it mean to be central in a complex network? Nobody knows, b/c there are many distinct ways of being central. Our recent work, led by our great @GiuliaTtt, attacks the problem from a #stats perspective: the most central node is the median of the network.

What's that? https://t.co/emcX2P5dRr

🔸 https://journals.aps.org/pre/abstract/10.1103/PhysRevE.99.042114