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Work group: Institute of Materials Physics Area of research: Scientific / postdoctoral posts Starting date: 09.12.2025 Job description: Scientist (Postdoc) as research software engineer Referenzcode
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as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/
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. Information on the DFG Priority Program SPP 2322: https://soilsystems.net/ For cost reasons, application documents or extensive publications can only be returned if an adequately stamped envelope is attached
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Computer Science, Data Science, Physics, Mathematics, Computational Biology, or related fields. Solid experience with Machine Learning / Deep Learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Strong
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work at international conferences, and publish in leading journals. Through its Graduate Centre and Talent Factory, TUM supports PhD students and Postdocs by providing a dedicated qualification program
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energy systems, physical relationships, and heuristic connections into the interpretation and evaluation of the model results. Additionally, you will document your findings. Sounds like a lot? Do not worry
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: development and coordination of the wind erosion monitoring program, the development and adaptation of measurement methods and modelling approaches both in the ZALF part of the project and between the involved
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physical, computational and data science, resulting from a close collaboration between ECMWF and the members of the European Meteorological Infrastructure, will contribute to a safe and thriving society In
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. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing robust, user
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broad range of disciplines in research, academic education, and innovation. KIT is one of the German Universities of Excellence. Division V – Physics and Mathematics, Institute for Analysis (IANA), KIT