43 programming-language-"St"-"University-of-St"-"FEMTO-ST"-"St" positions at Free University of Berlin in Germany
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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
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Disclaimer: Please note that only the German version of this job advertisement (available at www.fu-berlin.de/P-FUB-2026 ) is legally binding. The translation is intended for the convenience
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of quantitative data collection and analysis - Knowledge of French - Willingness to learn Phyton as a programming language - Knowledge of oral history of the Holocaust For further information, please contact Dr
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, human resource management or supply chain management • teaching experience in German and English in the areas of management, sustainability, supply and operations management or related fields • profound
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using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level
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- Knowledge of quantitative data collection and analysis - Knowledge of French - Willingness to learn Phyton as a programming language - Experience in analyzing non-verbal communication - Specialist knowledge
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at a leading German university? If so, we invite you to apply! The newly established Collaborative Research Center CRC 1772 "mol2Dmat" investigates novel collective states and quantum phenomena in
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different spectral ranges, and engineer materials through hybrid light-matter states. Our group is funded by the Emmy Noether Programme of the German Research Society (DFG). We closely collaborate with