Data-Science Job Opportunity

I'm looking for a research assistant (can be part- or full-time) to work with me on understanding biases in big dataset of human mobility.

https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181465&DepartmentId=3439&MediaId=5

#𝗣𝗼𝘀𝘁𝗱𝗼𝗰 𝗼𝗽𝗲𝗻𝗶𝗻𝗴 𝗶𝗻 𝗺𝘆 𝗴𝗿𝗼𝘂𝗽 funded by the Alan Turing Institute. Starting 1 September 2022. For more infomation: https://www.qmul.ac.uk/jobs/vacancies/items/7251.html

Excited to share our new preprint "Network bypasses sustain complexity", where we show that real networks have bypasses (routes topologically longer than shortest paths but more efficient to navigate) playing a key role.
https://t.co/01yHCtloKY

“Grounded in the physics of delay-coupled oscillators, these numerical analyses demonstrate how interactions between locally generated fast oscillations in the connectome spacetime structure can lead to the emergence of collective brain rhythms...” https://t.co/rihNl6j6ns

به نظر شما کدام مقالات حوزه‌ی شبکه بعد از سال ۲۰۰۸ تاثیرگذارترینها بوده‌اند؟https://docs.google.com/forms/d/e/1FAIpQLSfNN72cKcZYtVKS-jIOv20f62AFYIjOp58W0Zq0o5DA1DYScQ/viewform?usp=sf_link

Table from Ted Lewis 2009 "Network Science" book

3 lectures on several topics in the transition to turbulence, at the Boulder Summer School in Condensed Matter Physics. This year the theme was hydrodynamics across scales.

https://youtube.com/playlist?list=PLgzuNVhLa31yFevZ0oMox2EN1Jw02x2eQ

20 years of network community detection | Nature Physics
https://www.nature.com/articles/s41567-022-01716-7

The 20th anniversary of the Girvan-Newman paper is a good time to check how network community detection is doing. Take a look at our overview of the field, just out in Nature Physics! Delightful (first) collaboration with network science giant Mark Newman.

"The Kosterlitz-Thouless phase transition: an introduction for the intrepid student" (by Victor Drouin-Touchette):
https://t.co/zcm8uwcKvN

"This is a set of notes recalling some of the most important results on the XY model from the ground up. They are meant for a junior researcher wanting to get accustomed to the Kosterlitz-Thouless phase transition in the context of the 2D classical XY model."

Modelling railway delay propagation as diffusion-like spreading https://t.co/t9vpTJtmW6

If you're looking for a postdoc position, there is no better one than this one at #sfiscience:

Interdisciplinary scientists in any field (including those in AI / ML / Cogsci) are encouraged to apply! Applications due October 14, 2020.

https://apply-sfi.smapply.org/prog/complexity_postdoctoral_fellowship_/

The potential for cascading effects overwhelming ecological and social resilience.

https://www.pnas.org/doi/epdf/10.1073/pnas.2108146119

Are complex systems predictable? Is the butterfly effect real? Here's a seminal 1979 paper by David Ruelle on how fluctuations on the smallest scale propagate to the large, chaotic fluid-scale tmosphere dynamics

https://www.sciencedirect.com/science/article/abs/pii/0375960179906534

There are 2 openings for #PhD positions in my research group mds.univie.ac.at , see tinyurl.com/2p93hzsn and tinyurl.com/bddaf3cf for the announcments. Come to #Vienna to advance the Mathematics of Data Science!

Published exactly 50 years ago.

Continues to be a thought-provoking read.

https://t.co/j0AzAgSje2

Information theory: A foundation for complexity science
https://t.co/lpgm7eHRJ7

School on Information, Noise, and Physics of Life
19-30 Sep 2022, Nis - Serbia

https://indico.ictp.it/event/9826/

We are looking for two postdoctoral fellows in neural data science at the Department of Mathematical Sciences.
https://www.jobbnorge.no/en/available-jobs/job/229369/2-postdoctoral-fellows-in-neural-data-science

#postdoc

Swimming in Complex Fluids
Saverio E. Spagnolie, Patrick T. Underhill
https://arxiv.org/abs/2208.03537

We review the literature on swimming in complex fluids. A classification is proposed by comparing the length and time scales of a swimmer with those of nearby obstacles, interpreted broadly, extending from rigid or soft confining boundaries to molecules which confer the bulk fluid with complex stresses. A third dimension in the classification is the concentration of swimmers, which incorporates fluids whose complexity arises purely by the collective motion of swimming organisms. For each of the eight system classes which we identify we provide a background and describe modern research findings. While some classes have seen a great deal of attention for decades, others remain uncharted waters still open and awaiting exploration.