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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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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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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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19 Dec 2025 Job Information Organisation/Company EFSA - European Food Safety Authority Research Field Biological sciences » Biology Medical sciences » Medicine Computer science Mathematics
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into real-world applications in Geriatronics. Your Profile PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or a closely related field. Proven experience in
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will