Complex Systems Studies

We are hiring a #postdoc to bring behavioural neuroscience to art galleries. See crowdcognition.net/postdoc-job-03/

New paper in Scientific Reports: Schooling fish show scale-free avalanche behavior. https://t.co/5fBMV5MxRy

Principal component analysis: a review and recent developments | With over 400,000 downloads in the past year alone, this review by Ian T. Jolliffe and Jorge Cadima is the most read paper of the past 12 months. Read it here: #PCA https://t.co/d6qqymCm99

#Postdoc position Univ of Gottingen, Germany The position is embedded in the group of Prof. Peter Sollich. The interests of the group lie within the field of non-equilibrium statistical physics, with focus areas including theoretical modelling of soft and active matter rheology and non-equilibrium dynamics on networks. Specific topics include extensions of the soft glassy rheology model to active materials, effects of disorder and heterogeneity in cytoskeletal rheology, non-equilibrium kinetics in complex mixtures and glassy dynamics on sparse random graphs. Send email for more information.

📣 مدرسه دانش با همکاری پژوهشکدهٔ فیزیک پژوهشگاه دانش‌های بنیادی و انجمن علمی فیزیک دانشگاه شهید بهشتی برگزار می‌کند: دورهٔ فشردهٔ آنلاین کامپ‌فیزیک (شبیه‌سازی کامپیوتری در مدل‌سازی فیزیکی) مدرس: سعید سرکاراتی دربارهٔ دوره: این دوره به‌منظور آشنایی علاقه‌مندان با شبیه‌سازی فیزیکی طراحی شده است. شرکت‌کنندگان در این دوره، ضمن یادگیریِ اصولیِ شبیه‌سازی فیزیکی، دیدگاه جدیدی نسبت به پدیده‌ها و قوانین فیزیکی پیدا می‌کنند. مخاطبان دوره: دانش‌جویان فیزیک، دانش‌آموزان علاقه‌مند و محققان سایر رشته‌های نزدیک 🚲 مهلت ثبت‌نام زودهنگام (با تخفیف): تا ۱۱ تیر ۱۴۰۱ ⌛️ مهلت نهایی ثبت‌نام: تا ۲۱ تیر ۱۴۰۱ 🗓 تاریخ شروع دوره: ۲۲ تیر ۱۴۰۱ 🗂 شیوهٔ برگزاری: ۸ جلسهٔ دو ساعته به اضافهٔ جلسات آفلاین ⏰ زمان برگزاری: چهارشنبه‌ها ساعت ۱۷ 🔖 همراه با گواهی‌نامهٔ شرکت در دوره 🔗 مشاهدۀ اطلاعات بیشتر و ثبت نام در صفحۀ دوره در سایت مدرسه دانش #شبیه‌سازی #فیزیک #فیزیک_محاسباتی #پایتون #علوم_کامپیوتر 📌 اینستاگرام 📌 لینکداین 📌 توییتر 🔗 @SciSchool

During the pandemic, we asked the question, was social distancing effective in flattening the curve? After a year and a half of intense modelling efforts, and I say, yes! Now published. https://t.co/TXbN3bSq1A

In Retrospect: 70 years of Turing patterns. How did the leopard get its spots? 70 years ago, Alan Turing changed how we think about pattern formation. rdcu.be/cQac2

ما در ۸ برنامه به معرفی گرایش‌های فیزیک پرداختیم. ویدیو این برنامه‌ها رو در کانال یوتیوب یا صفحه اینستاگرام ما می‌تونید ببینید. فهرست گفت‌وگوها: ۱) نجوم و اخترفیزیک ۲) فیزیک اتمی-مولکولی ۳) فیزیک انرژی‌های بالا ۴) گرانش و کیهان‌شناسی ۵) فیزیک ماده چگال (سخت) ۶) علم شبکه و علم داده ۷) فیزیک زیستی ۸) نوروساینس ~~~~~~~~~~~~~~~~~ @sitpor | sitpor.org instagram.com/sitpor_media #سیتپـــــور به خاطر روایتگری در علم ~~~~~~~~~~~~~~~~~

From random walks on networks to nonlinear diffusion Carles Falcó https://arxiv.org/pdf/2206.08859 Mathematical models of motility are often based on random-walk descriptions of discrete individuals that can move according to certain rules. It is usually the case that large masses concentrated in small regions of space have a great impact on collective movement of the group. For this reason, many models in mathematical biology have incorporated crowding effects and managed to understand their implications. Here, we build on a previously developed framework for random walks on networks to show that in the continuum limit, the underlying stochastic process can be identified with a diffusion partial differential equation. The diffusion coefficient of the emerging equation is in general density-dependent, and can be directly related to the transition probabilities of the random walk. Moreover, the relaxation time of the stochastic process is directly linked to the diffusion coefficient and also to network structure, as it usually happens in the case of linear diffusion. As a specific example, we study the equivalent of a porous-medium type equation on networks, which can be coarse-grained to obtain a known nonlinear equation. These findings also provide insights into reaction-diffusion systems with general diffusion operators, which have appeared recently in some applications.

We have an open #PhD position to work on sensory processing in neural networks and its relation to behavior. A cool experiment-theory collaboration, reach out via email if interested. https://t.co/4eDQMXLNjV

‘overview talk’ on "Social Dynamics on Networks": https://t.co/2BBevzplMC It includes references to a few review articles and other resources to get started on this lovely topic.

Phase transitions can be found in almost every aspect of our daily lives, from something as simple as melting ice to water boiling. Today we recognize and remember Kenneth Wilson, winner of the Nobel Prize for his work on phase transitions: https://t.co/f1VbWxYadM #

The video is now available at: https://t.co/6xfZduvJkx

"Non-Markov is the rule, Markov is the exception". We developed a statistical method faithful to the biology of a spreading disease. https://t.co/zBvGMuZUyk

Gaussian process summer school 2022 will be in person, 12-15 Sept in Sheffield. Registration now open: https://t.co/jMgU6Ys9ZY Speaker list still to be finalised, but expect the usual great list of engaging speakers.

Two open positions: https://twitter.com/openreslabs/status/1534976321742422017?s=20&t=DfFAE-0u_35L0ZyUDYLdRw #phd

#PhD position, please RT! Come to beautiful Zurich for a fully funded PhD on Social Mobility / Social Networks / Labour Market (Segregation) with an outstanding team. Lots of flexibility and excellent working conditions https://t.co/T34JrJ7o01

Early-career researchers, you might be interested in the Summer School on Data + Algorithms for Science, Technology & Innovation Studies to be held #KU_Leuven Sept 21-23. Proposals due by June 24th! Participation is free of charge! https://t.co/a6ABGix6nt