74% of MPI postdocs are international (immigrants).
Only about 25% of those international postdocs are certain they want to stay in Germany after their postdoc ends. Many cite family reasons, better opportunities abroad, or language barriers as factors.
https://www.postdocnet.mpg.de/214512/2024-survey-results
Only about 25% of those international postdocs are certain they want to stay in Germany after their postdoc ends. Many cite family reasons, better opportunities abroad, or language barriers as factors.
https://www.postdocnet.mpg.de/214512/2024-survey-results
Max-Planck-Gesellschaft
The Max Planck Survey Report 2024
The 2024 Max Planck PostdocNet Survey took place between June and August 2024. It is the third survey conducted by the PostdocNet, updating our results from 2019 and 2022. The participation increased from 659 postdocs in our 2022 survey to 872 postdocs in…
👍1
Your friends are funnier than you are
https://complex-stories.uvm.edu/friends-funnier-than-you-are
https://complex-stories.uvm.edu/friends-funnier-than-you-are
NetSciX 2026
International School and Conference on Network Science
17th-20th February 2026
Auckland, New Zealand
https://netscix2026.github.io/
Submission Deadline: 26th September 2025, 23:59 AoE.
International School and Conference on Network Science
17th-20th February 2026
Auckland, New Zealand
https://netscix2026.github.io/
Submission Deadline: 26th September 2025, 23:59 AoE.
👍2
#Postdoc Research Associate in Applied Mathematics and Computational Neuroscience
https://www.maths.ox.ac.uk/node/74169
https://www.maths.ox.ac.uk/node/74169
Forwarded from IPM Biological Sciences
سخنرانی دکتر امیر کارگران از پژوهشگاه دانش‌های بنیادی
چهارشنبه ۹ مهر ۱۴۰۴
ساعت ۱۴ الی ۱۵
نشانی : تهران، خیابان شهید لواسانی (فرمانیه)، بعد از برج کوه نور، جنب خیابان شهید فربین، پژوهشگاه دانش‌های بنیادی، طبقه همکف کلاسA
شرکت برای عموم آزاد است ؛ حضوری یا آنلاین.
امکان شرکت در جلسه به صورت آنلاین از طریق این لینک فراهم است .
چهارشنبه ۹ مهر ۱۴۰۴
ساعت ۱۴ الی ۱۵
نشانی : تهران، خیابان شهید لواسانی (فرمانیه)، بعد از برج کوه نور، جنب خیابان شهید فربین، پژوهشگاه دانش‌های بنیادی، طبقه همکف کلاسA
شرکت برای عموم آزاد است ؛ حضوری یا آنلاین.
امکان شرکت در جلسه به صورت آنلاین از طریق این لینک فراهم است .
👍6
Media is too big
VIEW IN TELEGRAM
🎞 State-Space Compression, Coarse-Graining, and the Averaging of Life and Mind
Simon DeDeo
Abstract
Renormalization is a principled coarse-graining of space-time. It shows us how the small-scale details of a system may become irrelevant when looking at larger scales and lower energies. Coarse-graining is also crucial, however, for biological and cultural systems that lack a natural spatial arrangement. I introduce the notion of coarse-graining and equivalence classes, and give a brief history of attempts to tame the problem of simplifying and "averaging" things as various as algorithms and languages. I then present state-space compression, a new framework for understanding the general problem. At the end, I present recent empirical results, in an animal social system, that show evidence for the coupling of scales: the reaction of coarse-grained facts about a system "downwards" to influence the microphysics.
https://pirsa.org/14120020
Simon DeDeo
Abstract
Renormalization is a principled coarse-graining of space-time. It shows us how the small-scale details of a system may become irrelevant when looking at larger scales and lower energies. Coarse-graining is also crucial, however, for biological and cultural systems that lack a natural spatial arrangement. I introduce the notion of coarse-graining and equivalence classes, and give a brief history of attempts to tame the problem of simplifying and "averaging" things as various as algorithms and languages. I then present state-space compression, a new framework for understanding the general problem. At the end, I present recent empirical results, in an animal social system, that show evidence for the coupling of scales: the reaction of coarse-grained facts about a system "downwards" to influence the microphysics.
https://pirsa.org/14120020
👍1
Complex Systems Studies
Gender differences in collaboration networks - Aaron Clauset https://play.umu.se/media/t/0_40tneuk1
Media is too big
VIEW IN TELEGRAM
IceLab Seminar: Gender differences in collaboration networks with Aaron Clauset
#PhD position around the use of 7T MR to examine the role of hashtag#locuscoeruleus in aging. Looking for someone with experience in imaging and aging Neuroscience.
https://www.jobbnorge.no/en/available-jobs/job/286742/phd-in-aging-neuroscience
https://www.jobbnorge.no/en/available-jobs/job/286742/phd-in-aging-neuroscience
Jobbnorge.no
PhD in Aging Neuroscience (286742) | NTNU - Norwegian University of Science and Technology
Job title: PhD in Aging Neuroscience (286742), Employer: NTNU - Norwegian University of Science and Technology, Deadline: Monday, October 20, 2025
Dear all,
Bernstein Center for Computational Neuroscience Berlin is happy to announce that they have two DAAD-funded scholarships for doctoral students available ℹ️
They will select two excellent doctoral student candidates to receive scholarships from the DAAD as part of the Graduate School Scholarship Program (GSSP).
The scholarships begin in October 2026 à 1,300€/ month, for up to a maximum of 4 years,
In addition to the scholarship, health insurance, accident insurance, and liability insurance will be covered by the DAAD,
Scholarship recipients can also receive assistance for their rent payments,
Scholarship recipients with families may receive additional funding,
Scholarship recipients will have access to a country-specific travel budget from the DAAD,
Scholarship recipients will have access to additional Study and Research grants,
Can have German courses financed by the DAAD.
To be eligible for the GSSP scholarships, the student must:
Have an excellent academic profile and must have completed their master's (or equivalent) by the start of the funding period (October 2026),
Can not have completed their master's (or equivalent) more than 6 years ago,
At the time of application (March 2026), can not have been a resident in Germany for more than 15 months,
Can not already have a PhD,
Can not perform more than 25% of their doctoral work outside of Germany, and external work can not take place at the start of the doctoral project.
To be awarded the GSSP scholarship, the student must:
Apply to the BCCN PhD program -->Application deadline March 15th 2026!
A member of the BCCN Berlin must agree to supervise and accept the student to their group for the duration of their PhD.
A project proposal outlining the general goals of the doctoral project must have been agreed upon by the student and the BCCN Berlin supervisor by the application deadline.
For more information on how to apply to the International Doctoral Program Computational Neuroscience of the BCCN Berlin, please see our website:
https://www.bccn-berlin.de/doctoral-program-application.html
Finally, we organize an Information session about our graduate programs which will take place in January 2026:
https://www.bccn-berlin.de/events-list/information-day-2026-international-graduate-programs-computational-neuroscience.html
Please share this information with anyone who may be interested.
Bernstein Center for Computational Neuroscience Berlin is happy to announce that they have two DAAD-funded scholarships for doctoral students available ℹ️
They will select two excellent doctoral student candidates to receive scholarships from the DAAD as part of the Graduate School Scholarship Program (GSSP).
The scholarships begin in October 2026 à 1,300€/ month, for up to a maximum of 4 years,
In addition to the scholarship, health insurance, accident insurance, and liability insurance will be covered by the DAAD,
Scholarship recipients can also receive assistance for their rent payments,
Scholarship recipients with families may receive additional funding,
Scholarship recipients will have access to a country-specific travel budget from the DAAD,
Scholarship recipients will have access to additional Study and Research grants,
Can have German courses financed by the DAAD.
To be eligible for the GSSP scholarships, the student must:
Have an excellent academic profile and must have completed their master's (or equivalent) by the start of the funding period (October 2026),
Can not have completed their master's (or equivalent) more than 6 years ago,
At the time of application (March 2026), can not have been a resident in Germany for more than 15 months,
Can not already have a PhD,
Can not perform more than 25% of their doctoral work outside of Germany, and external work can not take place at the start of the doctoral project.
To be awarded the GSSP scholarship, the student must:
Apply to the BCCN PhD program -->Application deadline March 15th 2026!
A member of the BCCN Berlin must agree to supervise and accept the student to their group for the duration of their PhD.
A project proposal outlining the general goals of the doctoral project must have been agreed upon by the student and the BCCN Berlin supervisor by the application deadline.
For more information on how to apply to the International Doctoral Program Computational Neuroscience of the BCCN Berlin, please see our website:
https://www.bccn-berlin.de/doctoral-program-application.html
Finally, we organize an Information session about our graduate programs which will take place in January 2026:
https://www.bccn-berlin.de/events-list/information-day-2026-international-graduate-programs-computational-neuroscience.html
Please share this information with anyone who may be interested.
www.bccn-berlin.de
Application - BCCN
International interdisciplinary PhD/doctoral program computational neuroscience. A teaching coordinator helps with administrative issues. The final degree is a Dr. rer. nat. corresponding to a PhD degree, It is awarded by one of the three universities in…
50 years of spin glass theory | Nature Reviews Physics
https://www.nature.com/articles/s42254-025-00871-z
https://www.nature.com/articles/s42254-025-00871-z
Nature
50 years of spin glass theory
Nature Reviews Physics - Half a century ago, two theoretical papers were published that together sparked major new directions — conceptual, mathematical and practically applicable — in...
👍3
Message passing for epidemiological interventions on networks with loops
https://arxiv.org/abs/2509.21596
https://arxiv.org/abs/2509.21596
arXiv.org
Message passing for epidemiological interventions on networks with loops
Spreading models capture key dynamics on networks, such as cascading failures in economic systems, (mis)information diffusion, and pathogen transmission. Here, we focus on design intervention...
The Physics of News, Rumors, and Opinions
The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information ecosystem where individuals and machines compete for attention, leading to emergent collective phenomena. The flow of information in this ecosystem is often non-trivial and involves complex user strategies from the forging or strategic amplification of manipulative content to large-scale coordinated behavior that trigger misinformation cascades, echo-chamber reinforcement, and opinion polarization. We argue that statistical physics provides a suitable and necessary framework for analyzing the unfolding of these complex dynamics on socio-technological systems. This review systematically covers the foundational and applied aspects of this framework. The #review is structured to first establish the theoretical foundation for analyzing these complex systems, examining both structural models of complex networks and physical models of social dynamics (e.g., epidemic and spin models). We then ground these concepts by describing the modern media ecosystem where these dynamics currently unfold, including a comparative analysis of platforms and the challenge of information disorders. The central sections proceed to apply this framework to two central phenomena: first, by analyzing the collective dynamics of information spreading, with a dedicated focus on the models, the main empirical insights, and the unique traits characterizing misinformation; and second, by reviewing current models of opinion dynamics, spanning discrete, continuous, and coevolutionary approaches. In summary, we review both empirical findings based on massive data analytics and theoretical advances, highlighting the valuable insights obtained from physics-based efforts to investigate these phenomena of high societal impact.
https://arxiv.org/abs/2510.15053
The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information ecosystem where individuals and machines compete for attention, leading to emergent collective phenomena. The flow of information in this ecosystem is often non-trivial and involves complex user strategies from the forging or strategic amplification of manipulative content to large-scale coordinated behavior that trigger misinformation cascades, echo-chamber reinforcement, and opinion polarization. We argue that statistical physics provides a suitable and necessary framework for analyzing the unfolding of these complex dynamics on socio-technological systems. This review systematically covers the foundational and applied aspects of this framework. The #review is structured to first establish the theoretical foundation for analyzing these complex systems, examining both structural models of complex networks and physical models of social dynamics (e.g., epidemic and spin models). We then ground these concepts by describing the modern media ecosystem where these dynamics currently unfold, including a comparative analysis of platforms and the challenge of information disorders. The central sections proceed to apply this framework to two central phenomena: first, by analyzing the collective dynamics of information spreading, with a dedicated focus on the models, the main empirical insights, and the unique traits characterizing misinformation; and second, by reviewing current models of opinion dynamics, spanning discrete, continuous, and coevolutionary approaches. In summary, we review both empirical findings based on massive data analytics and theoretical advances, highlighting the valuable insights obtained from physics-based efforts to investigate these phenomena of high societal impact.
https://arxiv.org/abs/2510.15053
arXiv.org
The Physics of News, Rumors, and Opinions
The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information ecosystem where...
Finite Markov chains and Monte-Carlo Methods: An Undergraduate Introduction
https://arxiv.org/abs/2510.14165
https://arxiv.org/abs/2510.14165
arXiv.org
Finite Markov chains and Monte-Carlo Methods: An Undergraduate Introduction
This is a free textbook suitable for a one-semester course on Markov chains, covering basics of finite-state chains, many classical models, asymptotic behavior and mixing times, Monte Carlo...