166 computer-programmer-"St"-"FEMTO-ST"-"University-of-St"-"St" positions at Technical University of Munich in Germany
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
of Munich (TUM), Campus Heilbronn. We are looking for exceptional candidates who are interested in pursuing a PhD in either theoretical computer science or graph and network visualization. We seek PhD
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degree or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field. Experience in reachability analysis, formal verification/model checking, control theory, or related
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25.08.2025, Wissenschaftliches Personal The Chair of Architectural Informatics at the Technical University of Munich is looking for a research associate (m/w/d) for the research in the frame
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prestigious Humboldt Research Fellowships for the Logistics and Supply Chain Management research group at TUM School of Management. With the scouting program, the foundation aims to attract highly talented
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biomolecular structure, dynamics, and interactions in complex environments and live mammalian cells. By combining ultra-high-field NMR with complementary biochemical, computational, and cellular approaches
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We are seeking an outstanding candidate for a Postdoctoral position in the field of robot motion and control algorithms for soft material handling, starting immediately. We are looking for a highly qualified and motivated individual with a strong academic background in robotics and a keen...
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in geosci-ences, geodesy, geophysics, geology, physics, aerospace engineering, computational science and engineering, mathematics, or a related field. Ideally, candidates bring cross-disciplinary
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30.10.2025, Wissenschaftliches Personal Data-driven modeling and optimization of structural foams used in high-voltage battery systems for electric vehicles. As part of BMW’s passive safety and electrification strategy, the research aims to develop a multidisciplinary framework that combines...
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representations. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography