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100%, 3 years) on DNA data storage. The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on
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"mitochondrial DNA depletion" syndrome (MDDS), leading to severe liver damage and hepatocerebral dysfunction, and thus usually to death in early infancy. The function and mechanistic details of MPV17
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of new algorithms spanning: large language modeling of DNA and RNA sequences self-supervised and semi-supervised modeling strategies Multi-modal modeling, spanning all levels of gene regulation from
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processing workflows including QC and reproducibility metrics * APIs and packages supporting the development of new algorithms spanning large * language modeling of DNA and RNA sequences, and algorithms
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning