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Field
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calculations inside effective field theories. The particle and nuclear theory group at the TUM School of Natural science is lead by Prof. N. Brambilla and Prof. A. Vairo. The interests of the group span a
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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation
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optical physics. Proven experience with experimental laboratory research in one of the following fields: Femtosecond lasers, Ion transfer optics / ion traps, Charged particle detection Excellent written and
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description: GSI Helmholtzzentrum für Schwerionenforschung in Darmstadt operates one of the leading particle accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL
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Position Description Prof. M. Czakon invites applications for a PhD-student position in theoretical particle physics (hep-ph) with a starting date in the fall of 2026. The PhD project concerns
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computing and GPU infrastructure for the development and evaluation of LLM-, VLM-, and agentic AI solutions Research across the entire automotive software development lifecycle, from requirements and software
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. The energy is continuously injected at the level of the individual particles or agents, keeping the system out of equilibrium. Examples of active matter include bacterial colonies, cytoskeleton formed by
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microstructures. The objective is to create a multilayer coating with a graded particle size distribution, thereby establishing the prerequisites for the subsequent deposition of a dense electrolyte layer. Planning