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attract talented PhD students and postdocs from across the world. Assignment Research. As a VIB Group Leader and KU Leuven Professor, you will be expected to (continue to) build your research program with
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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that will allow you to build bridges between existing research groups at VIB and KU Leuven, as well as with other academic centers and the industry. You will focus on novel omics technologies with a
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interfaces. As a member of the ANA-KIN Doctoral Network, the PhD candidate will investigate kinase structure, dynamics, and regulation using advanced structural biology approaches, with a particular emphasis
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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structure visualization tools (PyMOL, ChimeraX, or similar) Rosetta or other protein design software Our offer A fully funded PhD position with an attractive salary. A dynamic, highly stimulating, and
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structure visualization tools (PyMOL, ChimeraX, or similar) Rosetta or other protein design software Our offer A fully funded PhD position with an attractive salary. A dynamic, highly stimulating, and
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engineering, and computational biology, the bioinformatician will contribute to the implementation, automation, and scaling of NGS‑enabled analytics and AI‑driven nanobody–antigen structure prediction and
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engineering, and computational biology, the bioinformatician will contribute to the implementation, automation, and scaling of NGS‑enabled analytics and AI‑driven nanobody–antigen structure prediction and