Graph Neural Networks as Neural Diffusion PDEs
Graph neural networks (GNNs) are intimately related to differential equations governing information diffusion on graphs. Thinking of GNNs as partial differential equations (PDEs) leads to a new broad class of GNNs that are able to address in a principled way some of the prominent issues of current Graph ML models such as depth, oversmoothing, bottlenecks, and graph rewiring.

https://michael-bronstein.medium.com/graph-neural-networks-as-neural-diffusion-pdes-8571b8c0c774

#PhD Positions in Physics, Mathematics, Engineering or Computer Sciences
BCAM Basque Center for Applied Mathematics - Spain

Deadline: 30th June 2021, 14:00 CET (UTC+1) .

Applications will be evaluated in a continuous manner, with a response period no longer than 4 weeks after the call deadline.

To apply click here.

Scholarships of $35,000 (AUD) are available for PhD students who achieved High Distinction (H1) in their undergraduate program and/or have completed a Masters by Research.

https://research.unsw.edu.au/people/dr-alireza-abbasi

Dr Alireza Abbasi is the Director of Postgraduate Studies at the School of Engineering and IT at UNSW Canberra. His research aims to enhance better functioning and performance of complex socio-technical systems, which primarily lies in the emerging field of Social Computing, leveraging the capacity to collect and analyse data to reveal patterns of individual and group behaviour.

#postdoc on complex networks, social dynamics, biodiversity, etc.

You have roughly one week left to apply: https://t.co/8fS2G7gIc8

Two pᴏsᴛᴅᴏᴄs ɪɴ ᴄᴏᴍᴘᴜᴛᴀᴛɪᴏɴᴀʟ sᴏᴄɪᴀʟ sᴄɪᴇɴᴄᴇ
We are looking for ambitious candidates who want to launch their research careers in a highly supportive and interdisciplinary environment.

#postdoc https://t.co/tCNTjZuuGG

Join us for #Computation in #ComplexSystems, a free course starting 19 July!

With SFI Prof Cris Moore you'll learn the deep ideas of theoretical #ComputerScience and cultivate insights to serve you everywhere from #math to #hysics to #biology:

https://t.co/QGd48M6A7K
#MOOCs

a Twitter thread from tiagopeixoto
https://telegra.ph/a-Twitter-thread-from-tiagopeixoto-06-25

😷 Face masks effectively limit the probability of SARS-CoV-2 transmission

https://t.co/YbpA6JyI8z

Scikit-learn is one of the most popular Python libraries for machine learning.

So if you're getting into ML, it's some good tech to know.

In this course, @fishnets88 breaks down complex concepts into bitesize pieces and makes it all more approachable.

https://t.co/LOlTK5yAe2

Swarm Robotics: Past, Present, and Future [Point of View] | IEEE Journals & Magazine | IEEE Xplore
https://ieeexplore.ieee.org/abstract/document/9460560

Bangalore School on Statistical Physics


This is a pedagogical school, aimed at bridging the gap between masters-level courses and topics in statistical physics at the frontline of current research. It is intended for Ph.D. students, post-doctoral fellows and interested faculty members at the college and university level. The following courses will be offered.

- Nonequilibrium response theory by Urna Basu (RRI, Bengaluru, India)
- Topology in statistical physics by Subhro Bhattacharjee (ICTS, Bengaluru, India)
- Statistical mechanics of developed turbulence by Nigel Goldenfeld (University of Illinois, Urbana-Champaign, US)
- Statistical physics of rare events and large deviations by Yariv Kafri (Technion -
Israel Institute of Technology, Haifa, Israel)


https://www.icts.res.in/program/bssp2020/talks

https://www.youtube.com/playlist?list=PL04QVxpjcnjjTv4rkFGzLa1PgRceIdtYO

a Twitter thread from tbuytaer
https://telegra.ph/a-Twitter-thread-from-tbuytaer-06-28

Physics - Statistical Mechanics Built on Sand https://t.co/CQfeJcTTk3 Excellent APS Viewpoint article by Adrian Baule!

#postdoc
We work on fascinating research topics, applying machine learning approaches to real problems in medicine. Please share with candidates looking for a postdoc! https://t.co/3ICtKRpqX5

Apply now!
Summer school on Mathematical Methods in Computational Neuroscience at the Fred Kavli Science Center, Eresfjord, Norway

https://www.compneuronrsn.org/


Dates: 28 July-14 August 2021!
Deadline for applications: 10 July 2021!

All seminars will be available for the public to attend digitally (no need to register or apply)

The internet sucks because millions of people are miserable. We cannot "content moderate" our way out; social media lays bare our society's failure to take care of each other.

https://t.co/aou7W2sD7g