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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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: 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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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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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
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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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metabolomics. Your profile We are looking for a candidate with: A PhD in microbial ecology, environmental microbiology, plant–microbe interactions, biogeochemistry, or related fields. Demonstrated
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targeting nitrifier communities, including metagenomics, metatranscriptomics, and metabolomics. Your profile We are looking for a candidate with: A PhD in microbial ecology, environmental microbiology, plant
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Profile Essential PhD in Molecular Biology, Biotechnology, Plant Biology Fluent in English, for both written and oral communication Enthusiastic team player Openness to collaborate with industry Passion
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Amplicon sequencing analysis Grant and manuscript writing Guide students and work with technicians Profile Candidates must have a PhD in (Plant) Biotechnology, Molecular Biology, Biochemistry or equivalent