💰 The application for the postdoctoral/research assistant position on team dynamics at Unito in collaboration with net_science is finally open. More info at https://t.co/lse6BPrV2I.

Apply at https://t.co/os7coyy0YB

(deadline Oct 1st 3pm CET). #postdoc

💰 Fully-funded #PhD opportunity at Monash, in Melbourne, Australia, modelling epistemic communities (academia, wikipedia, etc.).

This is part of a multi-disciplinary project, spanning economics, computer science, and social epistemology.

https://t.co/JqK5mDKMvY

💰 The CNRS CMB Computational Social Science Team based in Berlin will be recruiting several doctoral students (3-year contract) and post-doctoral researchers (up to 3 years) in the coming academic year 2019-20 (targeting a total of about 4-5 positions), to work principally under the ERC Consolidator grant “Socsemics” on internet echo chambers and polarization. These offers take place in an interdisciplinary context and touch a variety of domains, including computational social science, political science, NLP, information visualization, sociology of the internet, social network analysis and complex network modeling.

Detailed job offers for ERC Socsemics may be found here: http://cmb.huma-num.fr/job-offers with a deadline for application set at Sept 30th, 2019.

The team presentation is available either as a video https://www.youtube.com/watch?v=idmreTQzeg0 or as a website http://cmb.huma-num.fr, while the "Socsemics" ERC project has its own website https://socsemics.huma-num.fr

Extensive information on the scientific content and context are available in the above-mentioned job offers – interested applicants may nonetheless feel free to contact Camille Roth <roth@cmb.hu-berlin.de> to discuss this further.

A further forthcoming ANR grant called “Records” on the effect of algorithms on music listening practices will enable the recruitment of one doctoral student (most likely in computer science) over the course of the year: the corrresponding offer should be published before winter 2020, to aim for a recruitment by summer 2020 – prospective applicants may nonetheless already get in touch.

#phd #postdoc #job

💰 #Postdoc positions at Naoki Masuda's lab at U. Buffalo

https://t.co/hboK7m5gGT

Because this postdoc position is not tied to a particular funded project, I have freedom to choose research topics. I want to do either (i) network science in general, or (ii) mathematical biology as related to biological data analysis, with a priority on (i). I have various specific research topics in both (i) and (ii). My website showcases various lines of my research:
www.naokimasuda.net

#سمینارهای_هفتگی

«مقدمه‌ای بر بازبهنجارش - قسمت سوم: اتوماتای سلولی»

🗣 عباس کریمی - دانشگاه شهید بهشتی
⏰ دوشنبه، ۲۵ شهریور - 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

Jump events in the human heartbeat interval fluctuations

A M Hashtroud, E Mirzahossein, F Zarei and M Reza Rahimi Tabar

https://iopscience.iop.org/article/10.1088/1742-5468/ab3287

Abstract
Jumps are discontinuous variations in time series and one expects that the higher jump activity will cause higher uncertainty in the stochastic behavior of measured time series. Here we study jump events in beat-to-beat fluctuations in the heart rates of healthy subjects, as well as those with congestive heart failure (CHF). The analysis shows that the interbeat time series belong to the class of non-continuous stochastic processes. The estimated drift and diffusion coefficients and jump characteristics of healthy and CHF subjects reveal the distinguishability of two subjects.

📌كارگاه دو روزه بين رشته اي پايتون

📝مدرس:دكتر عليرضا وفايي صدر

كميته برگزار كننده:دكتر فريناز روشني-هيئت علمي گروه فيزيك-زينب مردي-فرشته كسائيان

📆تاريخ برگزاري:٢٨ و ٢٩ شهريور ماه ١٣٩٨

⏰زمان:٩ الي١٧

📍مكان:دانشگاه الزهرا-ساختمان
خوارزمي-سايت افق

💵هزينه ثبت نام: ٤٠٠٠٠ تومان
👈همراه با اعطاي گواهي شركت

جهت ثبت نام به آيدي @fatemehfj98 مراجعه نماييد.

@alzahraphysics

@anjoman_elmi_phys_sut

Offering a 4-yr PhD position to study "The stability of ecological communities in variable environments using time-series analyses". @univcadiz More information https://t.co/WZLMiaiwLN.

Hello new #PhD students—you might find this little book and/or my blog useful! https://t.co/LbUpURu1b6 https://t.co/InJothTsoT

We are looking for people for a workshop on "Pattern Formation in Music, Math, and Biology". We plan it for Nov. 2020 in Germany. If you are interested to connect music with math and/or bio, please let me know. Also, please share this post.

http://www.math.ualberta.ca/~thillen

JOB ALERT: We're looking for TWO #postdocs to join our HFSP collaborative project on communication and collective behavior:
1. Analysis of collective movement (in Konstanz w/ me)
2. Bioacoustics & machine learning (in San Diego w/ Marie Roch)
https://t.co/61B5659ozs

Finally out: "Rethinking structural balance in signed social networks", Discrete Applied Mathematics 268 (2019) 70-90.
https://t.co/iVBbVNiU2R
Notice that the world international relations are not evolving toward balance!

Call for applications - Academic Positions
https://academicpositions.com/ad/international-max-planck-research-school-neurocom/2019/call-for-applications/133609?utm_medium=email&utm_source=transactional&utm_campaign=Job+alerts

💰 Looking for a #Postdoc #complex #networks: exciting new @ERC_Research LINKS project on #network and #complexity to study finance to mitigate #ClimateChange. Join my new team at UCl_ISR https://t.co/YOM3zl6Dll. Deadline: Oct 11

Finance for Physicists

http://guava.physics.uiuc.edu/~nigel/finance.html

⚽️ 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.