See www.cofund-physics.universite-paris-saclay.fr for more information. Deadline to apply is July 31 2025.

The candidate is expected to have a strong background in machine learning, computational biology and statistical physics.

For more details and to apply contact me (DM or email).

The work will be carried out in close collaboration with the experimental team of Frédéric Ducongé, at MIRCen, Institut de Biologie François Jacob of CEA.

The goal of the project is to develop machine learning approaches to infer fitness landscapes from large sequencing datasets obtained in such experiments.

Aptamers are often obtained through rounds of in vitro competitive selection (SELEX), starting from random artificial libraries of ~10^15 distinct distinct sequences. However, engineered libraries cannot fully explore sequence space diversity.

For more details and to apply: adum.fr/as/ed/voirpr....
Deadline to apply is May 23, 2025. DM if you have questions.

By addressing the inherent biases and noise structures in these datasets, we will create more accurate computational frameworks for protein fitness landscape modeling.

This PhD project aims to develop novel machine learning approaches for robust characterization and modeling of noise in deep sequencing data from selection-amplification experiments.

We would like to invite applications and propositions for contributed talks or posters from students, postdocs and young researchers. To register and for more details, see the website: sites.google.com/view/coevolc...

The school will cover different topics in protein and RNA design, and will focus on teaching modern modeling approaches in this domain, from statistical physics, computer science, and machine learning fields to recent experimental approaches.

See sites.google.com/view/jorgefd... for more details.

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...

Thanks please add me

Hello, I'd love to join

Thanks ! Please add me :)

Thanks ! Please add me :)