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🏹 Job alert: The Institute of Computational Biology at Helmholtz Munich | @HelmholtzMunich seeks a Postdoc Researcher (f/m/x) in ML or Computational Biology to join the Theis Lab w/ Oxford Centre of Neuroinflammation. 📍 Neuherberg near Munich 📅 Deadline: Apr 11 🔗 bit.ly/3Rlu1KD

How can causal machine learning be applied to single-cell genomics to understand the true biological mechanisms underlying cellular processes?Nature Genetics TU München "Causal machine learning for single-cell genomics" • Advances in single-cell '-omics' technologies combined

Great joint work with Alejandro Tejada Lapuerta Paul Bertin Stefan Bauer Yoshua Bengio Fabian Theis. Link to the paper: nature.com/articles/s4158…

Multiomics single-cell optimal transport moscot.spatiotemporal An #OptimalTransport-based common coordinate framework to map & align #SpatialTranscriptomics with single-cell/-nucleus omics data scalable for millions of cells across multiple time points vs Tangram gimVI

🌏 #ICLR2025 is coming to the beautiful city of Singapore — April 24–28! We're excited to share 4 upcoming papers being presented at the conference. Check out the thread for highlights, and come chat with the authors if you're interested! 🧵👇

New nature Insightful perspective on large language of life models for molecular and cell biology nature.com/articles/s4158… Bo Wang Fabian Theis Haotian Cui and colleagues

🚀 Our perspective is out in nature! We present a roadmap for Multimodal Foundation Models (MFMs) — large AI models pretrained across multi-omics and multi-timepoint data — to serve as the computational backbone for building virtual cells. Read the full paper in Nature:

Thrilled to share our Human Endoderm-derived Organoid Cell Atlas (HEOCA). We compare organoids with primary tissues, assess culture strategies, and explore disease models. In collaboration with Lennard Halle, MD, supervised by Gray Camp, Fabian Theis & Treutlein lab.Institute of Human Biology

Mapping the Future of Organoids 🧠🫁 👉 Read the original publication in Nature Genetics: t1p.de/avhdz What if we could model the complexity of human organs in the lab — and make it reproducible? Scientists at #HelmholtzMunich, together with partners at Roche’s

🌟 What makes the Computational Health Center unique? The Computational Health Center at #HelmholtzMunich thrives within a dynamic ecosystem of academia, industry, and biotech. Focused on AI-driven health solutions, it plays a key role in accelerating the global application of

Analyzing your single-cell data by mapping to a reference atlas? Then how do you know the mapping actually worked, and you’re not analyzing mapping-induced artifacts? We developed mapQC, a mapping evaluation tool biorxiv.org/content/10.110… from the Fabian Theis lab. Let’s dive in🧵