🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Do you have a strong in vivo immunology background? Interesting senior scientist opportunity in AstraZeneca with a focus on gut immunology. careers.astrazeneca.com/job/gothenburg… #Immunology #IBD #hiring

...if you are looking for a staff scientist in computational biophysics to join your lab: then write to me in private.

PhD fellowship in structural bioinformatics available in the group in our #PRISM centre 🇩🇰 If you love proteins, know a bit of programming and like to do quantitative analyses based on protein structure and sequence, this might be for you. jobportal.ku.dk/phd/?show=1576…

Exploring the vastitude of sequence space..happy to share just published work with @rob_best_ Pengfei Tian on boosting protein thermal resilience through an interplay of co-evolution driven sequence generation, MD simulations and experiments! onlinelibrary.wiley.com/doi/10.1002/an…

Do you like machine learning, proteins and Copenhagen? Check out our open PhD position: jobportal.ku.dk/phd/?show=1581…. Deadline Jan 22. Please RT.

Results for this competition are online since a few days. Interesting that the very good intermediate results (Rs=0.8+) were mainly due to people overfitting to the public test data 🥸. Final winner achieved Rs ~0.55 for the private test data. 1/2

Train a diffusion model on coarse-grained samples, and in addition to generating CG samples, you also get the CG force field! @artsmarloes Víctor Garcia Satorras Chin-Wei Huang @danielzuegner Marco Federici @cecclementi Frank Noe Robert Pinsler Rianne van den Berg arxiv.org/abs/2302.00600

🩴🩴FLIP is excellent work on exploring local (e.g. GB1) and global (multiple protein families from Meltome Atlas) landscapes. For FLOP, our focus shifted to the intermediate landscape, pertaining to a specific protein family with diverse wild types and ML- generated sequences.

I have 3 open postdoc positions in my group. Machine learning and AI to topics varying from inverse molecular design, optimization of near-term quantum computer algorithms to multi-scale simulations of electron transport. All project are exciting collabs. see thread for links:

🍹🍸Lila Sciences

We are excited to share an initial look at what we're building at Lila Sciences! At Lila, we are weaving together several exciting threads that have emerged in AI over the last several years: Highly-capable large language models, generative models of biomolecules and materials,

So excited that we get to work with Kenneth Stanley on open-endedness for scientific AI Lila Sciences! Ken is truly one of the most original thinkers I've ever met in addition to being an amazing colleague. PS - His open-endedness team is hiring, come join us! Job links 👇