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/
ingoscholtes.net/
Reaction Diffusion Algorithm in p5.js
https://youtu.be/BV9ny785UNc
https://youtu.be/BV9ny785UNc
YouTube
Coding Challenge #13: Reaction Diffusion Algorithm in p5.js
In this coding challenge, I visualize a Reaction Diffusion simulation using the Gray Scott model in JavaScript (with the p5.js library). Code: https://thecodingtrain.com/challenges/13-reaction-diffusion
🕹️ p5.js Web Editor Sketch: https://editor.p5js.or…
🕹️ p5.js Web Editor Sketch: https://editor.p5js.or…
Double Pendulum
https://youtu.be/uWzPe_S-RVE
https://youtu.be/uWzPe_S-RVE
YouTube
Coding Challenge 93: Double Pendulum
In this coding challenge, I create a double pendulum simulation in Processing. Code: https://thecodingtrain.com/challenges/93-double-pendulum
🕹️ p5.js Web Editor Sketch: https://editor.p5js.org/codingtrain/sketches/jaH7XdzMK
🎥 Previous video: https://y…
🕹️ p5.js Web Editor Sketch: https://editor.p5js.org/codingtrain/sketches/jaH7XdzMK
🎥 Previous video: https://y…
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)
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)
Brain, Rain and Forest Fires -- What is critical about criticality: In praise of the correlation function
https://t.co/Fj5l8Fp3aX
https://t.co/Fj5l8Fp3aX
We are hiring! We are looking for a technician, a #PhD student, and a #postdoc to work on collective behaviour in nematodes starting this autumn. Join us!
https://t.co/RkY2SqzGZm, https://t.co/RupDQzIuLj, https://t.co/rbRt8xiulz
https://t.co/RkY2SqzGZm, https://t.co/RupDQzIuLj, https://t.co/rbRt8xiulz
#PhD Candidate in Molecular Neurobiology and Electrophysiology
My lab is hiring! An exciting opportunity for anyone interested in using state-of-the-art systems neuroscience and molecular approaches for studying neural and molecular mechanisms supporting memory maturation
https://t.co/bPepFVrEVP
My lab is hiring! An exciting opportunity for anyone interested in using state-of-the-art systems neuroscience and molecular approaches for studying neural and molecular mechanisms supporting memory maturation
https://t.co/bPepFVrEVP
solliciteren.ru.nl
De vacature bestaat niet (meer)
Vacature-overzicht Radboud Universiteit: https://www.ru.nl/vacatures
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
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
Medium
Graph Neural Networks as Neural Diffusion PDEs
Graph neural networks are intimately related to partial differential equations governing information diffusion on graphs.
#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.
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.
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
You have roughly one week left to apply: https://t.co/8fS2G7gIc8
Umantis
6 Postdoc Positions "Biodiversity of Anthropocene Oceans: Networks, Flows and Systems Approaches for Boundary Crossing Research"
Layout AWI HIPP extern, englisch
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
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
liu.se
Vacancies
We are one of Sweden's best employers. Check out our job openings and apply directly!
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
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
Forwarded from Twitter (𝕏) Media Downloader دانلود از ایکس و توییتر
a Twitter thread from tiagopeixoto
https://telegra.ph/a-Twitter-thread-from-tiagopeixoto-06-25
https://telegra.ph/a-Twitter-thread-from-tiagopeixoto-06-25
Telegraph
a Twitter thread from @tiagopeixoto
1. A new version of graph-tool is out! @graphtool https://graph-tool.skewed.de It includes a 5x speedup of the SBM inference multilevel algorithm for principled community detection! Let it rip on your very large networks! See the HOWTO here: https://graph…