Crowding and the shape of COVID-19 epidemics https://t.co/7A6QejWAOU

💰 I AM HIRING!
I am hiring a 2 year #postdoc to work with me on research in my #UKRIFLF on Open Mirror Geometry for Landau-Ginzburg Models (broad backgrounds encouraged!). Please apply!! #PleaseRT

https://t.co/4SX51EagBL

💰 Doctoral students in data science -KTH Royal Institute of Technology, EECS

https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:355118/type:job/where:4/apply:1

#phd

💰 Two #postdoc openings in my group in EPFL in Lausanne. Come to work with us to understand deep learning using statistical physics. More details: https://t.co/a5ChcO8Ubp Share with others to spread the word and inquire if interested.

Announcing a free online #CNWW20 on January 3-16 2021!

Deadline: Oct, 23, 2020.

This Winter, the nicest place to get creative with friends on cold and dark days won't be our Monastery, but hopefully the safety of your own home.

Stock up on hot cocoa and apply by Oct 23rd: https://vermontcomplexsystems.org/events/cnww/

💥 Machine Learning in High Energy Physics

https://arogozhnikov.github.io/2016/07/12/mlhep-2016-slides.html

👌 Hamiltonian Monte Carlo explained

https://arogozhnikov.github.io/2016/12/19/markov_chain_monte_carlo.html

Looking for a job in a beautiful location? You have a Phd in maths, in machine learning, or in statistical physics?

I am looking for talented #postdoc s to join my new lab IdePHICS, in EPFL in Lausanne. More details here:
https://t.co/d0xKYqKU55

🔴 WORK WITH US!🔴

#CSHVienna is looking for TALENTS!

3 #PostDoc positions in #ComplexSystems Science

Research Fellows in Economic Forecasting and
#ComplexityEconomics

PostDoc in #ComputationalSocialScience (Social Complexity & Collapse)

https://t.co/djJMi3MY1H

https://www.nature.com/articles/d41586-020-02852-x?

I am continuing to recruit participants for my dissertation research! If interested please complete the following short Qualtrics survey (We plan to reach out to eligible participants within the next week!): https://t.co/We3YlZvjGv

have an android smartphone and a Windows or Mac computer, are over the age of 18, and are fluent in English. Participants will receive $80 in amazon gift cards for their complete participation in the study. We plan to reach out to eligible participants within the next week!

💸 https://www.nature.com/articles/d41586-020-02875-4

🦠 Scientists from Oxford Physics have developed an extremely rapid diagnostic test for Covid-19 that detects and identifies viruses in less than five minutes.
Read more here >
https://t.co/aY7ubgPz3G

Join us virtually at Santa Fe Institute @sfiscience next May for the second annual Workshop on Stochastic Thermodynamics (WOST II), with a great line-up of invited speakers and prior tutorial sessions.
https://t.co/rZpvHTBgQo

سرطان به عنوان یکی از بیماری‌های که این روزها نامش بر سرزبان‌ها افتاده است، نامی است که به مجموعه‌ای از بیماری‌هایی اطلاق می‌شود که از تکثیر مهارنشده سلول‌ها پدید می‌آیند. در مورد ژن‌ها می‌دانیم که بیان هر ژن بر بیان سایر ژن‌ها اثر می‌گذارد و وجود این همبستگی‌ها سبب تشکیل یک حرکت جمعی می‌شود که خود باعث اثر گذاشتن روی بیان سایر ژن‌ها می‌‌شود. هدف این مطالعه، نگاهی پدیدارشناسانه به سرطان سینه و مقایسه رفتار جمعی ژن‌ها در نمونه سالم و سرطانی است. با در نظر گرفتن سلول به عنوان یک سیستم پیچیده، می‌خواهیم شبکه پیچیده‌ای که در پس این سیستم نشسته است را مورد مطالعه قرار دهیم به امید این‌ که درک بهتری از سرطان از نگاه پیچیدگی پیدا کنیم.

برای جزئیات بیشتر نگاه کنید به:
Cite as: arXiv:2010.05897
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ccnsd.ir/cancer
مرکز شبکه‌های پیچیده و علم داده اجتماعی
دانشگاه شهید بهشتی
@ccnsd

The first Young Talent Symposium of the Dutch chapter of @netscisociety is coming up on November 2nd (3.30-5pm CET)!

Sign up for this free virtual event at https://t.co/VswWJx9WTm

Isotopy and energy of physical networks

Yanchen Liu, Nima Dehmamy & Albert-László Barabási

https://www.nature.com/articles/s41567-020-1029-z

Abstract
While the structural characteristics of a network are uniquely determined by its adjacency matrix1,2,3, in physical networks, such as the brain or the vascular system, the network’s three-dimensional layout also affects the system’s structure and function. We lack, however, the tools to distinguish physical networks with identical wiring but different geometrical layouts. To address this need, here we introduce the concept of network isotopy, representing different network layouts that can be transformed into one another without link crossings, and show that a single quantity, the graph linking number, captures the entangledness of a layout, defining distinct isotopy classes. We find that a network’s elastic energy depends linearly on the graph linking number, indicating that each local tangle offers an independent contribution to the total energy. This finding allows us to formulate a statistical model for the formation of tangles in physical networks. We apply the developed framework to a diverse set of real physical networks, finding that the mouse connectome is more entangled than expected based on optimal wiring.

💰 IFISC offers a new #PhD position, funded by the @ERC_Research through the ERC Starting Grant ARCTIC, on large-scale data processing in air transport. The position will remain open until filled.

ℹ: https://t.co/3VOAxm97vB