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for therapeutic intervention. Initially focused on tools to study human protein complexes, the lab has expanded to novel screening platforms in human cells for applications such as Deep Mutational Scanning and
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in dynamical systems modeling (ODEs) and machine learning and very strong programming skills (Java, Python). A background in evolutionary genomics research is a strong plus, as is previous experience
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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines
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suite of technologies for studying protein aggregation, including advanced biophysical, ultrastructural, and cell‑biological platforms. Learn more about us on our website and don’t miss the laboratory
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: 10.1101/2025.09.08.674950), and AI/machine learning. We work closely with clinicians to translate our findings into clinical practice, focusing on genomically complex sarcomas and haematological
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interdisciplinary work at the interface between neurodegeneration, modeling, screening and machine learning Prior experience in iPSC modelling and CRISPR tools Our Offer A stimulating, international
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player and great collaborator Strong interest in interdisciplinary work at the interface between neurodegeneration, modeling, screening and machine learning Prior experience in iPSC modelling and CRISPR