183 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Technical University of Munich
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-reviewed publications and talks on ntl./intl. conferences • Participation in teaching and student supervision Requirements / Your Profile • Above average university degree (MSc., Dipl. (Univ.)) in biology
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research in
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
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learning • Programming skills (e.g., Python, R) • Interest in interdisciplinary research at the intersection of data analysis and learning sciences • Interest in education and learning as an
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individual career development. More information about the group is available at https://www.ep.mgt.tum.de/en/gia/home. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV
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• Proficiency in statistical or programming tools (e.g., R, Python) • Interest in education and learning as an application domain • Ability to work independently • Demonstrated academic writing
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. in the field of Artificial Intelligence Methods for the purpose of Space observations and operations based on Event Camera technologies. Proficiency in programming languages such as Python, C
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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are expected to have a M.Sc. or equivalent in engineering, applied math, physics or similar and a solid background in mechanics and numerical methods. Programming skills (any language) are a plus. If
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skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX or PyTorch, is a plus. In addition to above-average interest in the topic