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reinforcement learning methods can be used to solve multiobjective discrete and combinatorial optimization problems. The goal is to develop new algorithmic approaches that combine ideas from machine learning
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/en/tms/jobs/ We are seeking two Research Associates (f/m/d) to work on the methodological development and application of advanced electronic-structure approaches, with the opportunity to pursue a PhD
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13.11.2025, Academic staff Join the team of Prof. Stephen Schrettl at the TUM Campus Weihenstephan to develop stimuli-responsive thermoplastic elastomers using supramolecular interactions. We
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funded by the university with excellent opportunities for both research and career development. The newly established research group in Particle and Fiber Technology for bio-based Materials, led by Prof
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of the proteins to advance the photophysical research on (photoswitching) proteins developed in the laboratory. The lab The Stiel Lab is one of the laboratories at the Institute for Biological and Medical Imaging
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) to work on the development of an Amazonian Early Warning System (AmEWS) integrating Earth Observation data, process-based ecosystem models, and advanced machine learning approaches. The position is embedded
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Chair of Biological Imaging 02.02.2026, Academic staff We now seek a highly qualified and motivated PhD student (f/m/x) to drive the development of a novel quantum enhanced microscope. The Institute
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23.01.2026, Academic staff The Chair of Theoretical Information Technology is seeking a highly motivated research associate (m/f/d) for our research project focused on developing secure
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The Stiel Lab is one of the laboratories at the Institute for Biological and Medical Imaging in the Department of Bioengineering at Helmholtz Munich . Our group focuses on the development and application
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this Center: (1) develop a new set of consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods