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

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.

"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

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

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

‘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.

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

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.

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
~~~~~~~~~~~~~~~~~

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

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

📣 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

#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.

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

New paper in Scientific Reports: Schooling fish show scale-free avalanche behavior.

https://t.co/5fBMV5MxRy

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

Fully-funded 3.5 year #PhD studentship, University of Nottingham School of Psychology

Divergent networks: a new class of complex systems.

This project will introduce and explore a new class of model weighted networks, “divergent” networks. In these networks the structure described by the links and their weights do not match. Most theoretical work on weighted networks assumes that they do, so little is known about the properties of these divergent networks.

https://www.findaphd.com/phds/project/divergent-networks-a-new-class-of-complex-systems/?p145584

📯 The Finnish Center for AI is hiring!

Many #PhD, #postdoc and research fellow positions on exciting machine learning topics.

The deadline for the postdoc/research fellow applications is on August 21 and for the PhD student applications on August 28, 2022. Please send your application to our recruitment system, links below.

https://fcai.fi/we-are-hiring