74 virtualization "https:" "https:" "https:" positions at Technical University of Munich in Germany
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found here . For questions about the position, please contact Prof. Rupert Seidl, rupert.seidl@tum.de. Find out more about us at https://www.edfm.ls.tum.de/ and https://www.nationalpark
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Europe • Membership in the International Graduate School of Science and Engineering (IGSSE) and participation in the course program (https://www.igsse.gs.tum.de/en/igsse/about/) • IGSSE-funded doctoral
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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de
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18.03.2026, Academic staff Location: Marsstraße 20-22, 80335 München Start date: As soon as possible Working hours: 8h/week Website: https://www.edu.sot.tum.de/en/lsdesign/welcome/ About Us The
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communication skills in English; knowledge of German is an advantage. We offer Working at TUM, one of the most renowned universities worldwide. Access to a state-of-the-art laboratory infrastructure. Close
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Methods, LBM), and HPC. For a selection of possible research areas, see: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/ Responsibilities: Development and analysis of new
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information about our research group is available at: www.ch.nat.tum.de/pc. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent
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individual career development. More information about the group is available at https://www.ep.mgt.tum.de/en/gia/home. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV
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are looking for a highly motivated candidate interested in conducting field experiments (RCTs) and survey experiments on sustainability and environmental economics. About Us The Technical University of Munich
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. About Us The candidate will be a part of the LEAPS research group (LEarning Analytics and Practices in Systems) led by Prof. Dr. Oleksandra Poquet. LEAPS investigates how data from learning environments