New paper out in PRL!
With @artemyte.bsky.social and Sosuke Ito, we combine stochastic thermodynamics with nonequilibrium MaxEnt in large networks to infer entropy dissipation in high-dimensional systems from time series (up to 1000 variables!)

journals.aps.org/prl/abstract...

PhD positions in my lab (AI for Science), but with special preference for people who complement our current activities or are enthusiastic about contributing to our on going work. Looking for technically strong, independent and proactive candidates. www.chalmers.se/en/about-cha...

Multiple PhD positions available: call for applications Our recently established collaborative research initiative “Machine Learning for Complex Quantum States” (MLCQS) – a consortium spanning eleven different institutions across Germany and Switzerland – ...

PhD opportunities at the interface machine learning/quantum physics

Joint call for PhD positions in our @dfg.de research unit "Machine learning for complex quantum states" together with @abohrdt.bsky.social @gppcarleo.bsky.social amongst others. Check it out at:

for5919.github.io/joinus/2025_...

Multiple PhD positions available: call for applications Our recently established collaborative research initiative “Machine Learning for Complex Quantum States” (MLCQS) – a consortium spanning nine different institutions across Germany and Switzerland – is...

Check out our call for applications for PhD positions in our research unit on machine learning for complex quantum systems funded by @dfg.de including @heylgroup.bsky.social @gppcarleo.bsky.social and many more: for5919.github.io/joinus/2025_...

We are recruiting a postdoctoral research fellow. | Mitchell Lab We're excited to announce that we're looking for a postdoctoral research to join our team!

We’re excited to announce that we’re looking for a postdoctoral research to join our team!
This is an opportunity to lead an exciting project aiming to push the boundaries of personalised medicine through integrating data, simulation and lab experiments.

Plz share

mitchell.science/talk/we-are-...

I'm hiring a postdoc with a flexible start date (any time in 2026). Come work with us on topics at the interface of machine learning, biophysics, a nonequilibrium statistical mechanics. If interested, send me a CV and a short summary of why you think you'd be a good fit.
statmech.stanford.edu

GitHub - Machine-learning-and-complex-systems/NNCME Contribute to Machine-learning-and-complex-systems/NNCME development by creating an account on GitHub.

Code: github.com/Machine-lear...

We will continuously update it, aiming to establish it as a standard alternative to the Gillespie algorithm, with higher efficiency for rare events.

We push the frontier of neural-network methods for solving chemical master equations, tackling large biochemical networks and spatially extended systems with rare events.

arxiv.org/abs/2512.10309

Flow matching has become a dominant paradigm in generative modeling. We develop Quantum Flow Matching, with diverse applications: generate states with target magnetization and entanglement entropy; probe nonequilibrium free energy and superdiffusion. arxiv.org/abs/2508.12413

We have several open, fully-funded PhD and Postdoc positions at my group, now at the University of Tübingen. Please #RT and share with potential candidates!

Generally: AI for scientific discoveries in physics 🔥.
mariokrenn.wordpress.com/wp-content/u...

The first list filled up, so here's a second list of AI for Science researchers on bluesky.

Let me know if I missed you / if you'd like to join!

bsky.app/starter-pack...

✋ please, thanks

Glad to discuss more science in this platform😁. Our group studies stochastic process, machine learning, and nonequilibrium statistical physics. jamestang23.github.io