Complex Systems Studies
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What's up in Complexity Science?!
Check out here:

@ComplexSys

#complexity #complex_systems #networks #network_science

📨 Contact us: @carimi
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Forwarded from انجمن علمی فیزیک شریف (Yaghoub Shahmari)
⭕️سمینار هفتگی ماده چگال نرم⭕️
💡 موضوع ارائه: Evolutionary graphs: structure and fitness heterogeneity effect
🗣 ارائه دهنده: Hossein Nemati
📅 زمان ارائه: شنبه ۲۲ خرداد ساعت ۱۵:۳۰
🚪محل برگزاری:
🔗 کلاس مجازی دکتر اجتهادی

💢 #اطلاع_رسانی_سمینارهای_دانشکده
💢 #سمینار_ماده_چگال_نرم
💢 #دکتر_اجتهادی

🆔 @anjoman_elmi_phys_sut
#Postdoc opportunity: Conduct infectious disease outbreak modelling research under the supervision of @RobinNThompson. Funded by a UKRI grant in support of the Royal Society’s Rapid Assistance in Modelling the Pandemic (RAMP) initiative. Closing date: 20th June 2021.

https://t.co/7jCt3ZFqRw?amp=1
"The air we breathe in a car" (by Varghese Mathai, in @PhysicsToday): https://t.co/ByNGGwXHV5

"Your typical commute hides complex fluid-dynamical pathways of disease transmission. Where you sit and the windows you open could heighten or suppress the risk of airborne infection."
On June 28th, the AI & the response to the #COVID19 pandemic welcomes Caroline Buckee and Riccardo Gallotti to speak during the track.
Find all the information here: https://t.co/PVaFhhdK6L
"Open Letter from Research Institutes: COVID-19 Advocacy"

...with conferences cancelled and chances for in-person interaction severely diminished, almost no new collaborations have been started...

The mathematical sciences thrive on the continuing influx of new ideas and the pandemic has slowed this flow to a small drip.

https://t.co/6fGbNMuDGr
Ever wanted to know what Exponential Random Graph Models (ERGMs) are good for?

There are a few places left in Antonio Fiscarelli's workshop at #HNRResHist2021

All infos and registraion here: https://t.co/4FtGalKKRS
🎞 Carlos Gershenson, “The Implications of Interactions...” ~ Stanford Complexity

https://youtu.be/Z_V3z5SYSc0

Carlos Gershenson is a professor at Universidad Nacional Autónoma de México. He studies Complex systems from various perspectives. Carlos' site is: http://turing.iimas.unam.mx/~cgg/

Professor Gershenson was the first speaker at the 2017 Stanford Complexity Symposium, where he provided a great overview of "What is Complexity?" and how other philosophical/scientific systems are related to Complexity Theory. An elegant and recommended introduction to Complexity!
🎞 Morgan Page, "Strange Quakes" ~ Stanford Complexity

https://youtu.be/Xom20MuNN60

Morgan Page is a Research Geophysicist at the U.S. Geological Survey (USGS) in Pasadena, California. Morgan's site is http://www.its.caltech.edu/~pagem/Con...

Dr. Page gave a fascinating talk about how new datasets and models are providing insight into the regularities and complexities of earthquakes all over the world!
"Tensors in computations" (by Lek-Heng Lim): https://t.co/1FD72bYZUY

"We will explain tensors in an accessible and elementary way through the lens of linear algebra and numerical linear algebra, elucidated with examples from computational and applied mathematics."

[208 pages]
Effect of COVID-19 response policies on walking behavior in US cities


Most walking in cities is utilitarian and the lockdowns have a massive impact on it. Leisure walking not so much
https://t.co/9xLKAZ4DRl
But, which demographic groups were more affected?
Still hiring two #postdoc s for research on global/local brain dynamics in humans (often in atypically developing ones)! Please contact with me if you’re interested in energy landscape analysis, intrinsic neural timescale analysis, fMRI & EEG-triggered TMS!

https://t.co/0wwKBaAuIG?amp=1
I currently have five fully-funded (!) open positions (#PhD student/postdoc with 100 % salary) working on "Machine Learning for Complex Networks". Be part of a young, diverse and growing team working on AI, networks & computational social science!

ingoscholtes.net/
Google Brain Tokyo is hiring a complex systems researcher:

https://careers.google.com/jobs/results/94261527629963974-research-scientist-google-research-brain-team/

Minimum qualifications:

PhD degree in Computer Science or a related technical field, or equivalent practical experience
Experience programming in Python, working with multi-processing libraries. Experience with deep learning frameworks (e.g., JAX)