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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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by combining machine learning with in-depth knowledge of biological processes. We aim to work towards foundation models and integrative theories of biological systems, and towards innovative AI-driven
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unique opportunity to work at the interface of evolutionary biology, genomics, and algal model systems, while contributing to a broader understanding of biodiversity, adaptation, and genome evolution. Your
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unique opportunity to work at the interface of evolutionary biology, genomics, and algal model systems, while contributing to a broader understanding of biodiversity, adaptation, and genome evolution. Your