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-ray scattering, materials science, and/or experimental methods at large-scale research facilities Experience in scientific programming (e.g. Python), data analysis and handling/managing large datasets
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mechanics, or advanced material behavior. Programming skills (e.g., Python, MATLAB, Julia,..), ideally with experience in numerical methods or scientific computing. Familiarity with machine learning
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, computational biology, bioinformatics, data science, or related fields Strong interest in clinical and biomedical data, translational research, and health informatics Experience with programming skills in Python
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Strong background in differential equations and numerical methods Solid programming skills e.g. Python, C++, Julia or similar Interest in interdisciplinary research bridging mathematics and environmental
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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investigation of reaction mechanisms are advantageous Experience in programming languages like python is advantageous Strong communication skills in both English and German (above-average communication skills in
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incidents effectively. English proficiency at a B2 level. Experience in writing scientific articles. Experience in software development using Python. Experience with Geant4. LanguagesENGLISHLevelExcellent
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with software such as R, Python, MATLAB, or SAS. 3. Climate and Environmental Science Knowledge Understanding of climate change variables (temperature, air pollution, extreme weather) and their health
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, or decision-support systems). Skills in data integration and management, including PA, weather, and environmental data. Basic competence in data analysis using tools such as R, Python, or similar. Research
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Master's thesis -An interest in turbine aerodynamics, secondary flows, and real-engine flow physics -Programming and data-analysis skills (Python preferred) -Curiosity and motivation to work on complex