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modelling, cheminformatics, and AI-driven methods – as part of the broader toolkit to enable program decisions, integrating computational predictions with rigorous experimental validation. Familiarity with
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collaboration with researchers across VIB centers , applying state-of-the-art methods to cutting-edge biomedical questions. Design, implement, and evaluate ML and foundation-model approaches, including LLM
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. This includes agentic workflows that help researchers find suitable methods, write and run analysis code, and work with multi‑omics and spatial data. You will critically evaluate these tools, bring the
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solutions in close collaboration with researchers across VIB centers , applying state-of-the-art methods to cutting-edge biomedical questions.Design, implement, and evaluate ML and foundation-model
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areas is essential. Depending on your profile, you will: Learn and apply the complete screening pipeline, from stem-cell engineering to data analysis Develop and test improvements in single-cell methods
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artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology . Examples of research topics include but are not limited to: development of new AI
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
KU Leuven, Dept of Computer Science and Dept. Electrical Engineering). We are particularly interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic
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behavior, computational methods, etc.) is a plus. Candidates from non-neuroscience fields but with a keen interest in understanding the brain (e.g., physics, artificial intelligence, engineering
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
methods and mechanistic mathematical models to address fundamental questions in biology . Examples of research topics include but are not limited to: development of new AI architectures for biology
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
methods and mechanistic mathematical models to address fundamental questions in biology . Examples of research topics include but are not limited to: development of new AI architectures for biology