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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 networks; AI-based
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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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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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stability metrics (FoldX, Rosetta, PRODIGY). Contribute to automation and scaling of the full pipeline from NGS data to ranked structural models. Your profile Qualifications MSc or PhD in
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stability metrics (FoldX, Rosetta, PRODIGY). Contribute to automation and scaling of the full pipeline from NGS data to ranked structural models. Your profile Qualifications MSc or PhD in
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), protein biochemistry, interaction proteomics. Prior experience in guiding master and/or PhD students is recommended. We welcome applications from dynamic individuals with a strong curiosity and drive