⚽️ What do you need to win the Premier League? Money? Sure. Good players? Yup. A great manager? It helps. Mathematics? Really? 100%.

https://twitter.com/OxUniMaths/status/1174696331945885696?s=19

🎞 https://livestream.com/oxuni/sumpter

💰 I am recruiting #PhD students for Fall 2020. My group uses mathematical and computational tools to study evolution, population genetics, and social behavior.

Please check out the ad below and get in touch if you are interested in learning more!

https://www.tumblr.com/privacy/consent?redirect=https%3A%2F%2Fevoldir.tumblr.com%2Fpost%2F187815828316%2Ffwd-graduate-position%2Famp#click=https://t.co/jxJM7hTVSq

💰 I am recruiting a postdoctoral scholar to work in my group on evolutionary theory, population genetics, and social behavior.

Please see the ad below and contact me if you'd like to learn more!

https://t.co/MEzoy2hDv5

#postdoc

⚽ Defining a historic football team: Using Network Science to analyze Guardiola's F.C. Barcelona

J.M. Buldu, J. Busquets, I. Echegoyen, F. Seirul.lo

https://arxiv.org/abs/1909.08903

The application of Network Science to social systems has introduced new methodologies to analyze classical problems such as the emergence of epidemics, the arousal of cooperation between individuals or the propagation of information along social networks. More recently, the organization of football teams and their performance have been unveiled using metrics coming from Network Science, where a team is considered as a complex network whose nodes (i.e., players) interact with the aim of overcoming the opponent network. Here, we combine the use of different network metrics to extract the particular signature of the F.C. Barcelona coached by Guardiola, which has been considered one of the best teams along football history. We have first compared the network organization of Guardiola's team with their opponents along one season of the Spanish national league, identifying those metrics with statistically significant differences and relating them with the Guardiola's game. Next, we have focused on the temporal nature of football passing networks and calculated the evolution of all network properties along a match, instead of considering their average. In this way, we are able to identify those network metrics that enhance the probability of scoring/receiving a goal, showing that not all teams behave in the same way and how the organization Guardiola's F.C. Barcelona is different from the rest, including its clustering coefficient, shortest-path length, largest eigenvalue of the adjacency matrix, algebraic connectivity and centrality distribution.

Where do you park your car: is it more likely to save you time and energy if you park far away and walk, or gamble on finding the closest possible spot? New research compares three strategies – meek, prudent, and optimistic – and converges on a long-overdue answer to this age-old question.

Based on the research paper "Simple parking strategies" by Paul Krapivsky and Sidney Redner. Read it at the Journal of Statistical Mechanics:
https://iopscience.iop.org/article/10.1088/1742-5468/ab3a2a

🖥 https://m.facebook.com/story.php?story_fbid=10156148588536058&id=125124501057

💰 #PhD position (m/f/d) in biological physics & systems biology at Universität zu Köln

In the framework of the DFG-funded project „Predicting the effects of ribosome-targeting antibiotic combinations“, the Bollenbach group at the Institute for Biological Physics is investigating the underlying cellular and molecular mechanisms of drug interactions between antibiotics in bacteria. The group combines molecular biology with concepts from physics.

Please apply online at: https://jobportal.uni-koeln.de with proof of the sought qualifications and provide in your CV at least two recommendators that can be contacted. The reference number is Wiss1909-06. For further questions please contact Professor Bollenbach t.bollenbach@uni-koeln.de.

The application deadline is 1 November 2019.

https://academicpositions.de/ad/university-of-cologne/2019/phd-position-m-f-d-in-biological-physics-systems-biology/134190?utm_medium=email&utm_source=transactional&utm_campaign=Job+alerts

#سمینارهای_هفتگی

«مقدمه‌ای بر بازبهنجارش - قسمت چهارم: مدل آیزینگ»

🗣 عباس کریمی - دانشگاه شهید بهشتی
⏰ دوشنبه، ۰۸ مهرماه - ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابن‌هیثم

📽 sitpor.org/renorm
—————————————
به امید دیدار

مرکز شبکه‌های پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی

🕸 @CCNSD 🔗 ccnsd.ir

💰Fully-funded #PhD studentship to work with me at the UniofExeter! I'm looking for a candidate with data analytics skills from Computer Science, Computational Social Sciences or related areas. HMU if you have any questions.

https://www.findaphd.com/phds/project/socio-demographic-inequality-in-human-mobility-computer-science-phd-funded/?p112143

🔺 مقدمه‌ای بر بازبهنجارش - اتوماتای سلولی
عباس کریمی

هفته سوم- ۱) معرفی اتوماتای سلولی

🎞 https://www.aparat.com/v/RgeYK

جزئیات بیشتر در مورد این دوره:
🔗 http://www.sitpor.org/complex-systems/renormalization/

—————————————
🕸 مرکز شبکه‌های پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی

@CCNSD @Sitpor @RadioPhysicsIr

🔺 مقدمه‌ای بر بازبهنجارش - اتوماتای سلولی
عباس کریمی

هفته سوم- ۲) درشت-دانه‌بندی اتوماتای سلولی

🎞 https://www.aparat.com/v/gieCM

جزئیات بیشتر در مورد این دوره:
🔗 http://www.sitpor.org/complex-systems/renormalization/

—————————————
🕸 مرکز شبکه‌های پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی

@CCNSD @Sitpor @RadioPhysicsIr

🔺 مقدمه‌ای بر بازبهنجارش - اتوماتای سلولی
عباس کریمی

هفته سوم- ۳) شبکه‌های بازبهنجارش

🎞 https://www.aparat.com/v/80GVM

جزئیات بیشتر در مورد این دوره:
🔗 http://www.sitpor.org/renormalization/

—————————————
🕸 مرکز شبکه‌های پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی

@CCNSD @Sitpor @RadioPhysicsIr

🎞 https://youtu.be/MSLVUGsQjwk?list=PLZoqplwhQVVfS53sAq257W1e-xUIYMzmr

🔴 Nobel laureates are almost the same as us

Data show that apart from their prize-winning work, the careers of Nobel laureates follow the same patterns as those of the majority of scientists.

https://www.nature.com/articles/s42254-019-0057-z

🔺 https://www.johndcook.com/blog/2019/09/27/fat-tails-and-the-t-test/

🔰🔰🔰

🔸مدارس میان رشته‌ای شریف با همکاری انجمن علمی ژرفا و انجمن علمی فیزیک دانشگاه تهران برگزار می‌کند:

🔹 ارائه‌های پاییزی فیزیک

👤 با حضور اساتید برجسته فیزیک
📅 یکشنبه‌ها، به مدت ده هفته، از 21 مهرماه
⏳ از ساعت 🕠 16 الی 🕖 19
🏛 دانشگاه صنعتی شریف و دانشکده فیزیک دانشگاه تهران

🔴 ثبت نام و کسب اطلاعات بیشتر:

🆔 @SharifSchools

💡 "How does the Monte Carlo method work?" (by Oleg Yavoruk):
https://t.co/dOcN0vx5T6

"The paper describes the practical work for students visually clarifying the mechanism of the Monte Carlo method applying to approximating the value of Pi."

(Monte Carlo by tearing up paper...)

🔗 https://arxiv.org/pdf/1909.13212

👩🏼‍💻 A machine learning approach to predicting dynamical observables from network structure. (arXiv:1910.00544v1 [physics.soc-ph])

https://t.co/Lagezk74TT

🐜 Memory is the result of collective action - whether it is neurons connecting in the brain or ants connecting in a colony

https://t.co/EkMxQWaQC6