29 programming-language-"St"-"St"-"FEMTO-ST" uni jobs at Free University of Berlin in Germany
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atmospheric water cycle. Experience in data analysis using Python, R, or a comparable programming language, as well as in statistics. Fluency in English and the ability to work in a team. For further
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Raluca Niesner’s lab you can find here: https://www.drfz.de/en/arbeitsgruppen/biophysikalische-analytik/ Job description: As members of the German Research Foundation (DFG)-funded Research Training Group
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members of the German Research Foundation (DFG)-funded Research Training Group (GRK) 3096 “One Health Approach to Soil-Transmitted Helminths,” successful applicants will work on scientific projects in
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members of the German Research Foundation (DFG)-funded Research Training Group (GRK) 3096 “One Health Approach to Soil-Transmitted Helminths,” successful applicants will work on scientific projects in
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The Department of Earth Sciences has been offering a new international Master's degree programme "Planetary Sciences and Space Exploration" since the winter semester 2022/23. A tutor position
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the methodological and scientific development of the programme. The tasks are: - Research, planning, and management of format development, including selection procedures and scheduling - Conducting scientific
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Bewerbungsende: 06.10.2025 The CRITICAL AGENCY project group (funded by the DFG's Emmy Noether Programme) researches critique as it is manifest in critical encounters: critique does not always land
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(especially Fortran and Python) - studies in a science degree program (BSc or MSc), preferably in planetary sciences - basic knowledge or strong interest in planetology and geodynamic modeling - english skills
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The History Department of Freie Universität Berlin is home to a broad variety of research projects and scholarly initiatives in the field of global history (among them, the MA program Global History
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: - Enrolment at a German university. - Major in physics, mathematics, computer science or related subject - Programming experience in Python - Experience with PyTorch or similar libraries for neural networks