Greifflab

PhD Research Fellow in Trustworthy Machine Learning (296254) | University of Oslo Job title: PhD Research Fellow in Trustworthy Machine Learning (296254), Employer: University of Oslo, Deadline: Tuesday, March 24, 2026

We are hiring a PhD student at the SCML group, University of Oslo! 🎓

When can clustering be trusted? This project will use simulations to probe the robustness of unsupervised ML, with applications in the life sciences.

🗓️Deadline: 24 March
📝To apply: www.jobbnorge.no/en/available...

Why you should join NOW: - The clock is ticking (ends Dec 17). - Top minds are already competing. - The prizes are exceptional: cash + a high-impact publication
Link to challenge 👇 🔗: www.kaggle.com/competitions...

Your mission: Predict disease from T-cell repertoires and identify the key sequences.
This is more than a prediction task—it’s about finding signals that could lead to new diagnostics & therapeutics. The data is complex, unpublished, and waiting for your models.

The AIRR-ML-2025 challenge is LIVE on @kaggle.com!
We’re challenging the best in #MachineLearning & #DataScience to decode the immune system.

💰 $10,000 prize pool
📄 Co-author a NatureMethods paper

Please RT and forward this information to your colleagues, labs, and collaborators who would be interested!

This is a call for experts in #AI, #MachineLearning, #DeepLearning, #AdaptiveImmunity, #Immunoinformatics, #Bioinformatics and #ComputationalBiology to join the challenge and help advance on a crucial #immunology problem with applications in diagnostics and therapeutics.

📢 We are announcing the Adaptive Immune Profiling Challenge 2025!
Can you predict immune state labels from adaptive immune receptor repertoires?
💰 $10,000 prize pool!
🗓️ Launches Nov 5 on @kaggle.com
More Info: uio-bmi.github.io/adaptive_imm...

Reminder that we are recruiting for a PhD Fellow. All details below. Application deadline: Oct 29th.

PhD Fellowship in Computational Systems Immunology (286608) | University of Oslo Job title: PhD Fellowship in Computational Systems Immunology (286608), Employer: University of Oslo, Deadline: Wednesday, October 15, 2025

We’re recruiting a PhD Fellow in Computational Systems Immunology. Work on large-scale immune receptor datasets and develop computational models in close collaboration with experimental labs. Apply here: www.jobbnorge.no/en/available...

Training data composition determines machine learning generalization and biological rule discovery - Nature Machine Intelligence Negative data composition critically shapes machine learning robustness in sequence-based biological tasks. Training data composition and its implications are investigated on biological rule discoveri...

Models trained on harder antibody binding tasks learned deeper biological rules + generalized better.

New NatureMachIntel paper by CTO @victorgreiff.bsky.social shows training on hard negatives (weak vs strong binders) boosts antibody ML generalization.

Read the paper: doi.org/10.1038/s422...

Deadline extended - last chance, second edition!

Earlier this year, Imprint came out of stealth on the TED Mainstage to share our vision:

What if the immune system holds the key to curing chronic diseases—and we just need the tools to read it?

We’re building those tools.
Our TED talk is now live 👉 go.ted.com/beckbrachman

Identification of malignant cells in single-cell transcriptomics data - Communications Biology This review article discusses the challenges of identifying cancer cells in single-cell data, summarizing current computational solutions as well as underexplored features of malignancy.

Identifying malignant cells in single-cell transcriptomics data – from first principles to computational solutions, framed around the hallmarks of cancer
www.nature.com/articles/s42...

EMBL is back on hiring faculty! Check out the multiple open positions:

3 PIs- 2 in Heidelberg incl. our Molecular Systems Biology Unit, 1 in Grenoble
1 Head of Unit (Cell Biology & Biophysics, Heidelberg).

Closing deadlines in Sep!
+3 more positions to come out then, stay tuned...
@embl.org

Imprint Labs Launches to Pioneer "Forensic Immunology" For Chronic Disease Imprint has raised $15 million to decode the body's immune memory for understanding chronic diseases, such as long-COVID and psychiatric disorders.

📣Major thanks to @faylinphd.bsky.social at GEN News for this lovely piece on IMPRINT! It was a pleasure for our founders — @beckbrachman.bsky.social, @victorgreiff.bsky.social, and Raymond Alvarez — to speak about our mission and research, and being NYC's first FRO.

@convergentresearch.bsky.social

Excited to co-found and help lead @imprintlabs.bsky.social —a focused effort to decode the immune system’s memory through cutting-edge computation and experimentation. Grateful to be on this journey with an exceptional team.

Lovisenberg Diakonale Sykehus Postdoctoral research fellowship in Bioinformatics and Immunology (3-year, full-time)

We have available a 3-year postdoc position in Bioinformatics in our lab at the University of Oslo focusing on the adaptive immune response in rheumatoid arthritis. Please see details here
lds.easycruit.com/vacancy/3490...

Somatic hypermutation unlocks antibody specificities beyond the primary repertoire Initial specificity is thought to be required for somatic hypermutation (SHM)-driven antibody evolution. Zuo, Gautam, et al. demonstrate that non-cognate B cells can enter germinal centers, undergo SHM, and acquire new antigen specificities, highlighting the capacity of antibodies to generate new recognition through SHM.

Online now: Somatic hypermutation unlocks antibody specificities beyond the primary repertoire

Jobs — Imprint FRO Join our team—current openings at Imprint

Looking for a job in immunology or biotech research?
✨IMPRINT is #hiring! ✨

Join us to help revolutionize how we decode the body’s immune memory, uncover the causes of chronic diseases, and drive breakthroughs in autoimmunity and neuropsychiatric research.

#BiotechJobs #Immunology #sciencejobs

The BioEmu-1 model and inference code are now public under MIT license!!!

Please go ahead, play with it and let us know if there are issues.

github.com/microsoft/bi...

This paper has been a long time coming: We looked at the genomes of historical bacterial samples over a century to look for trends of antibiotic resistance genes, finding multiple instances of them in infections before the age of antibiotics, but an increase in both frequency and mobility after

@timodonnell.bsky.social @giulioisac.bsky.social @jlimenitakis.bsky.social Beck Brachman Raymond Alvarez @victorgreiff.bsky.social Convergent Research

1/10 Small pre-Christmas #bluetorial on the workshop held by the T-cell Receptor (TR) and Immunoglobulin (IG) Nomenclature Sub-Committee of @iuis-online.bsky.social on policies and procedures for TR/IG gene annotation and nomenclature #immunerepertoire #immunogenetics

High-resolution mapping of cell cycle dynamics during steady-state T cell development and regeneration in vivo Kunze-Schumacher et al. have developed an experimental and computational framework to generate a quantitative high-resolution map of cell cycle phase durations during murine T cell development. This map provides insight into how cell cycle phases are adjusted between slow- and fast-dividing populations at steady state and in a preclinical model of thymus regeneration.

A good start into 2025: www.cell.com/cell-reports.... High-resolution mapping of cell cycle dynamics during steady-state T cell development and regeneration in vivo.

Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science Machine learning has been pervasively touching many fields of science. Chemistry and materials science are no exception. While machine learning has been making a great impact, it is still not reaching...

In a recent article, my group and I laid out some of the recommendations I have learned over the year about research. In 2025, our lab will double down on following our own advice. pubs.rsc.org/en/content/a...

Harvard Professors Leaving for Private Sector Research | Harvard Magazine Three distinguished scientists on leaving academia to advance biomedical research

What an amazing read (h/t Jeff Flier) - esp @michaelmina.bsky.social which felt especially raw. #biosky #medsky www.harvardmagazine.com/2025/01/harv...

Figure from the paper describing the alternating access model and text that says that relevant motions can be exceedingly subtle

A periodic reminder that biologically meaningful conformational changes do not have to be large

While textbooks may indicate that relevant motions are large, even the original paper on alternating access makes it clear that atoms just need to move a bit to have an effect. doi.org/10.1038/2119... 🧬🧶

Extremely pleased to share our new work in collaboration with the @bruskolab.bsky.social lab, where we leveraged one of the largest TCRbeta sequencing datasets to identify T1D-associated TCR-based signatures. Paper link and 🧵 are below. Incredible work led by @puneet021192.bsky.social.