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drug discovery Working knowledge on organic/medicinal chemistry Working knowledge on molecular modelling and predictive methods, ranging from empirical to machine learning approaches Experience in
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Machine Learning (ML) Engineer at VIB.AI Leuven VIB Center for AI & Computational Biology Posted Date 23 Aug 2026 Locations Leuven Center VIB Center for AI & Computational Biology Lab Machine
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understand how genetic variation shapes biological function. At the heart of our research is MAGESTIC ( https://doi.org/10.1038/nbt.4137 ), a CRISPR-based technology that enables precise engineering of
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. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models
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architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of
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technologies to understand how genetic variation shapes biological function. At the heart of our research is MAGESTIC ( https://doi.org/10.1038/nbt.4137 ), a CRISPR-based technology that enables precise
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Machine Learning (ML) Engineer at VIB.AI Employer VIB
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction
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architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and