Elements of successful NIH grant applications

https://www.pnas.org/doi/10.1073/pnas.2315735121

5 postulates for Successful Applications 101:

1. The application is for the reviewer, not you, the applicant—remember that.
2. Learn from the Greek—communicate in stories.
3. Your Specific Aims story needs to be cohesive—leave no puzzling gaps.
4. Motivate the reviewer to keep reading—make your story resonate.
5. There is serendipity and noise in the peer-review system—accept that.

The Scales of Human Mobility - Laura Alessandretti

https://youtu.be/AwKlne2VAME

#Postdoc (Bioinformatics/Data Science) in data-driven protein-protein interaction research at Department of Drug Design and Pharmacology

https://jobportal.ku.dk/videnskabelige-stillinger/?show=164645

#Postdoc Research Assistant in Machine Learning
Statistics, 24-29 St Giles’, Oxford, OX1 3LB

We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon Guarantee for an ERC Starting Grant awarded to Prof Tom Rainforth.

The post holder will undertake innovative research as part of the RainML Lab (https://www.rainml.uk/) towards the goals of the DataAcq project. In particular, the post holder will be expected to undertake research related to one or more of the three work packages of the project: a) scalable and robust Bayesian experimental design, b) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models).

The successful postholder will hold or be close to the completion of a PhD/DPhil in Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the ability to contribute ideas for new research projects and research income generation. Previous research experience in one or more areas relevant to the research programme. For example: probabilistic machine learning, deep learning, experimental design, active learning, generative modelling, computational statistics, reinforcement learning, or Bayesian optimisation. This must include the ability to develop and/or analyse new methodology. Proficiency in the use of PyTorch, Tensorflow, Jax, or an equivalent deep learning library is desirable.

We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae, and the contact details of two referees as part of your online application. Please note that applicants are responsible for contacting their referees and making sure that their letters are sent to hr@stats.ox.ac.uk directly by the closing date.

Please direct informal enquiries about the post to Professor Tom Rainforth rainforth@stats.ox.ac.uk, quoting vacancy reference 181060.

Only applications received before 12.00 noon UK time on 03 September 2025 can be considered. Interviews are anticipated to be held on 24 September 2025.

Link: https://www.jobs.ac.uk/job/DOC113/postdoctoral-research-assistant-in-machine-learning

منظور ما از پدیدارگی یا emergence در سیستم‌های پیچیده چیه؟!

انگاره پیچیدگی عینک جدیدی برای مطالعه طبیعت به ما می‌دهد. سیستم‌های پیچیده از تعداد زیادی اجزا تشکیل شده‌اند که در مقیاس ریز، اجزایشان برهم‌کنش‌های موضعی دارند و در مقیاس درشت، رفتارهای «پدیداره» از خود نشان می‌دهند که شبیه به رفتار اجزای آن‌ها در مقیاس ریز نیست. پدیدارگی در مورد این جور پدیده‌هاست.

این ویدیو دعوتی است برای خواندن این مقاله مروری کوتاه:

What is emergence, after all?
🔗 https://arxiv.org/abs/2507.04951
🎞 https://youtu.be/fMyuRjgFu-I
🎧 Audio File
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@sitpor  |  sitpor.org
instagram.com/sitpor_media

#Postdoc in Computational Social Science
https://liu.se/en/work-at-liu/vacancies/27207

The Era of Experience & The Age of Design: Richard S. Sutton, Upper Bound 2025
https://youtu.be/FLOL2f4iHKA

Welcome to the era of experience
https://storage.googleapis.com/deepmind-media/Era-of-Experience%20/The%20Era%20of%20Experience%20Paper.pdf

We are hiring multiple #PhD and #postdoc researchers for two newly funded projects related to the interaction of mental health and political polarization. The positions are in the Department of Computer Science at Aalto University in Finland. You will be joining a larger group of researchers working on similar topics. The department has a strong community of researchers working on related topics, including digital health and welbeing, network science, computational social science, and many topics in machine learning.

https://www.aalto.fi/en/open-positions/open-postdoctoral-and-doctoral-positions-to-work-on-polarization-and-mental-health

CSS, recognize the genocide in Gaza!
This is a call to all members of the Complex Systems Society.
We ask the CSS to join other academic organisations in publicly condemning the ongoing genocide in Gaza.
We ask you to sign the letter below in support of the initiative.

https://docs.google.com/forms/d/e/1FAIpQLSc9yqD3JufuaNBJQkg7q0KsYqnUSpYnRVprbb8E-V7rV7To2A/viewform

#phd in Neurosciences
https://uef.varbi.com/en/what:job/jobID:840322/type:job/where:4/apply:1

Sune Lehmann on "Using sequences of life-events to predict human lives"

https://youtu.be/2t5iNmOk7EI

#Postdoc Positions in Mathematics at the Department of Mathematical Sciences KU

https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18973&ProjectId=164797&MediaId=5&SkipAdvertisement=false

Some thoughts on Al and infectious diseases as we prepare for the next pandemic

https://sciencenews.dk/en/artificial-intelligence-could-be-our-greatest-ally-in-the-next-pandemic

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

Your friends are 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.

#Postdoc Research Associate in Applied Mathematics and Computational Neuroscience

https://www.maths.ox.ac.uk/node/74169

🎞 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

#postdoc position in Computational Epidemiology
https://uu.varbi.com/en/what:job/jobID:849295/