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and other data-driven use cases across VIB. Working directly with data, pipelines, transformations, models and code, you build and implement robust and scalable data solutions as part of your day-to-day
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data-driven use cases across VIB. Working directly with data, pipelines, transformations, models and code, you build and implement robust and scalable data solutions as part of your day-to-day work. The
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models and integrative theories of biological systems, and towards innovative AI-driven biotech applications in synthetic biology, agro-tech, and personalized medicine. AI-driven research at VIB.AI starts
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
models and integrative theories of biological systems, and towards innovative AI-driven biotech applications in synthetic biology, agro-tech, and personalized medicine. AI-driven research at VIB.AI starts
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contract with a competitive salary and attractive benefits. A role with visible impact on leadership, teams and organizational culture. The opportunity to shape a proactive HR partnering model within VIB. A
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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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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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About the lab 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
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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