229 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Technical University of Munich
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qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
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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, computer science
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in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and
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domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Mathematics, Engineering, Chemistry, Physics or a similar subject. Most importantly, you should be
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06.09.2023, Academic staff The Livestock Systems research group at the TUM School of Life Sciences is recruiting a postdoctoral researcher (m/f/d) to work on grassland restoration. The aim of our
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(at places all over the world) and present your work at top-notch conferences and journals in our domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Mathematics
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01.09.2025, Wissenschaftliches Personal PhD-Position in der Neurogenetik: Neue genetische Sequenzierungstechnologien zur Erforschung seltener neurologischer Erkrankungen in einem interdisziplinären Team an TUM und MGZ. Wir suchen einen motivierten Doktorand*in (PhD) für ein interdisziplinäres...
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The Livestock Systems research group at the TUM School of Life Sciences is recruiting a postdoctoral researcher (m/f/d) to work on grassland restoration. The aim of our group is to improve the understanding
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-year bachelor’s degree in chemistry, chemical engineering or adjacent areas - High motivation and joy to learn about chemistry and chemical engineering - Strong commitment to solve some of the most
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science or related fields (Science: Biology, Computer Science, Data Science, Agricultural Economics etc.; Engineering: Mechanical, Electrical, Bionics, etc.) 3. Programming knowledge for AI, robotics, and