#NewPI #DiversityEqualityInclusion
Single-cell, multi-omics, machine learning
emploi.cnrs.fr/Offres/Docto...
emploi.cnrs.fr/Offres/Docto...
📜 Paper: lnkd.in/eJ8SfFNH
💻 Code: lnkd.in/e-qx2iNp
📜 Paper: lnkd.in/eJ8SfFNH
💻 Code: lnkd.in/e-qx2iNp
Submit your contribution by March 3rd: shorturl.at/WC6U3
#NetSci2026 #NetBioMed2026
netbiomed-symposium.github.io
Submit your contribution by March 3rd: shorturl.at/WC6U3
#NetSci2026 #NetBioMed2026
netbiomed-symposium.github.io
See the announcement for all details emploi.cnrs.fr/Offres/CDD/U...
See the announcement for all details emploi.cnrs.fr/Offres/CDD/U...
Led by @jkobject.com "scPRINT-2: Towards the next-generation of cell foundation models and benchmarks"
We perform an additive benchmark of single-cell Foundation Models (scFMs) and we present scPRINT-2 pre-trained on 350 million cells
📝 www.biorxiv.org/content/10.6...
Led by @jkobject.com "scPRINT-2: Towards the next-generation of cell foundation models and benchmarks"
We perform an additive benchmark of single-cell Foundation Models (scFMs) and we present scPRINT-2 pre-trained on 350 million cells
📝 www.biorxiv.org/content/10.6...
**One-liner:** a **20M-active-param** single-cell foundation model trained on **350M cells / 16 species / 300 tissues / 500 cell types**.
1/6
**One-liner:** a **20M-active-param** single-cell foundation model trained on **350M cells / 16 species / 300 tissues / 500 cell types**.
1/6
✍️ @cantinilab.bsky.social et @gabrielpeyre.bsky.social
📕 @naturemethods | buff.ly/XJlsK5P
✍️ @cantinilab.bsky.social et @gabrielpeyre.bsky.social
📕 @naturemethods | buff.ly/XJlsK5P
Focus: Infectious diseases, host-microbe interactions, vaccines
Special interest: AI methodologies
📅 Deadline: Feb 9, 2026
👥 2-12 years post-PhD
Apply now 📝 research.pasteur.fr/en/call/crea...
#JobOpportunity #Research
Focus: Infectious diseases, host-microbe interactions, vaccines
Special interest: AI methodologies
📅 Deadline: Feb 9, 2026
👥 2-12 years post-PhD
Apply now 📝 research.pasteur.fr/en/call/crea...
#JobOpportunity #Research
research.pasteur.fr/en/call/mid-...
research.pasteur.fr/en/call/mid-...
www.nature.com/articles/s41...
www.nature.com/articles/s41...
STORIES learns cell fate landscapes from spatial tramscripromics data profiled at several time points, thus allowing prediction of future cell states.
Led by Geert-Jan Huizing and Jules Samaran
www.nature.com/articles/s41...
@pasteur.fr
STORIES learns cell fate landscapes from spatial tramscripromics data profiled at several time points, thus allowing prediction of future cell states.
Led by Geert-Jan Huizing and Jules Samaran
www.nature.com/articles/s41...
@pasteur.fr
It was really interesting to write a short manuscript mixing method presentation & broader insights on data preprocessing. 📝
Thank you to my co-supervisors @cantinilab.bsky.social & @juliosaezrod.bsky.social for their feedback on this side work! 🫶
5/5
Available here: github.com/gletort/Fish... user documentation: gletort.github.io/FishFeats/
Available here: github.com/gletort/Fish... user documentation: gletort.github.io/FishFeats/
To predict the behaviour of a primate, would you rather base your guess on a closely related species or one with a similar brain shape? We looked at brains & behaviours of 70 species, you’ll be surprised!
🧵Thread on our new preprint with @r3rt0.bsky.social , doi.org/10.1101/2025...
To predict the behaviour of a primate, would you rather base your guess on a closely related species or one with a similar brain shape? We looked at brains & behaviours of 70 species, you’ll be surprised!
🧵Thread on our new preprint with @r3rt0.bsky.social , doi.org/10.1101/2025...
If you are interested in multi-omics matrix factorization when few samples are available (e.g. rare diseases), have a look at it!
#multiomics #machinelearning #transferlearning
🧬 When you only have a few datasets available for multi-omics integration, for instance because you work on rare diseases, one solution is Transfer Learning. Introducing #MOTL - now available in Genome Biology!
doi.org/10.1186/s130...
If you are interested in multi-omics matrix factorization when few samples are available (e.g. rare diseases), have a look at it!
#multiomics #machinelearning #transferlearning
Thanks again @anaisbaudot.bsky.social and all #NetBio commitee for the invitation!
@institutpasteur.bsky.social #singlecell #AI #netbio
She is sharing cutting-edge work on multi-modal learning for single-cell data integration, tackling how to combine diverse omics and spatial data to unlock new insights into cellular heterogeneity.
Thanks again @anaisbaudot.bsky.social and all #NetBio commitee for the invitation!
@institutpasteur.bsky.social #singlecell #AI #netbio
Interested and attending #ISMBECCB2025? Let’s connect!
🔗 www.jobbnorge.no/en/available...
Interested and attending #ISMBECCB2025? Let’s connect!
🔗 www.jobbnorge.no/en/available...
She is sharing cutting-edge work on multi-modal learning for single-cell data integration, tackling how to combine diverse omics and spatial data to unlock new insights into cellular heterogeneity.
She is sharing cutting-edge work on multi-modal learning for single-cell data integration, tackling how to combine diverse omics and spatial data to unlock new insights into cellular heterogeneity.
Join us at the @ncmbm.bsky.social, part of the @nordicembl.bsky.social, at @uio.no
Feel free to reach out if you have Qs.
🧬 With an attractive start-up package, help us shape the future of molecular biosciences and medicine in 🇳🇴 and be part of the @nordicembl.bsky.social!
Join us at the @ncmbm.bsky.social, part of the @nordicembl.bsky.social, at @uio.no
Feel free to reach out if you have Qs.