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homeostasis to disease. About the role We are seeking a motivated software developer who wants to join the Saeys lab within the VIB-UGent Center for Inflammation Research to help develop, maintain and extend
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research in the field of artificial intelligence and the development of innovative machine learning methods to address fundamental questions in (bio)medical research. Research topics may, amongst others
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conduct innovative and internationally recognized research in the field of artificial intelligence and the development of innovative machine learning methods to address fundamental questions in (bio)medical
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single‑cell omics, AI machine learning, and translational biology. The role involves collaboration with academic research group(s), with a strong focus on bridging advanced computational methods
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collaboration with academic research group(s), with a strong focus on bridging advanced computational methods to biologically meaningful outcomes. The successful candidate will contribute to the application
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, information and data flows, and software integrations. Helping researchers and support services work efficiently through modern, reliable digital services. To strengthen our ability to deliver complex cross
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of VIB’s valorization projects. Train, fine-tune, benchmark and apply state‑of‑the‑art AI methods for protein structure prediction and generative protein design (e.g. AlphaFold, OpenFold, Boltz, Chai
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into biologically meaningful insights relevant for protein/antibody design in support of VIB’s valorization projects. Train, fine-tune, benchmark and apply state‑of‑the‑art AI methods for protein structure prediction
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on computational methods and AI applications for the CCB community. Stay up to date with state‑of‑the‑art methods in computational biology and AI/ML; evaluate, benchmark, and introduce relevant tools and best
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., FlowJo or similar software) You have experience with analysing both human and murine samples You are interested in supporting scientific research and multiple projects You are highly organized, detail