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partner with additional professorships in the core areas of computer science and data science. To apply please send: 1. cover letter 2. CV for PhD students: your Master's thesis and study transcripts (with
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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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or others). Aim for apply for funding sources (DGF, BMBF, Bavarian and TUM funding) to strengthen your carrier. 2-years full-time, with option to extend (max 4y). Requirements A PhD or equivalent and a solid
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of career, with recent first author publications. • Experience conducting work overseas will be an advantage. • Interest in interdisciplinary approaches. • Good language (written and spoken English) and
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of career, with recent first author publications. • Experience conducting work overseas will be an advantage. • Interest in interdisciplinary approaches. • Good language (written and spoken English) and
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for inverse problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering