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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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modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and
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join the Nelissen lab , and will work alongside scientists to develop and implement a mobile 3D machine vision system for small plants. The ideal candidate will have a background in mechanical
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join the Nelissen lab , and will work alongside scientists to develop and implement a mobile 3D machine vision system for small plants. The ideal candidate will have a background in mechanical
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computational approaches – including structural modelling, cheminformatics, and AI-driven methods – as part of the broader toolkit to enable program decisions, integrating computational predictions with rigorous