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of both biology and (agent-driven) software engineering Fluency in written and spoken English Embraces complexity Our offer An interdisciplinary environment spanning wet-lab, technology-development and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
of disease and digital twin applications. We also welcome applicants with applied projects, including synthetic biology, AI-driven experiments (experiment-in-the-loop), and bio-engineering. This position comes
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genomics. We also welcome applicants with applied projects, including synthetic biology, AI-driven experiments (experiment-in-the-loop), and bio-engineering. This position comes with full salary and core
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About us The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes shape
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from large‑scale immune repertoire data and in translating these insights into rational, model‑driven prioritization of high‑quality nanobody candidates. Working at the interface of immunology, protein
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from large‑scale immune repertoire data and in translating these insights into rational, model‑driven prioritization of high‑quality nanobody candidates. Working at the interface of immunology, protein
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, and problem-solving skills Programming experience in Python or a similar scientific language Interest in machine learning and data-driven modelling Excellent written and spoken
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, and problem-solving skills Programming experience in Python or a similar scientific language Interest in machine learning and data-driven modelling Excellent written and spoken