75 proof-checking-postdoc-computer-science-logic PhD positions at Technical University of Munich
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
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18.09.2025, Wissenschaftliches Personal At the TUM School of Life Sciences one focus is on forest ecosystems, aiming to better understand their dynamics and contributing to their sustainable
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04.09.2025, Wissenschaftliches Personal Funded by the Eva Mayr-Stihl Foundation, a new Centre for Forest Management in the Alps will be installed at the TUM School of Life Sciences. Within
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15.09.2025, Wissenschaftliches Personal The Chair of Marketing Analytics, which is part of the Heilbronn Data Science Center and the TUM School of Management at the TUM Campus Heilbronn, is seeking
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Additive Manufacturing is looking for a full-time applicant as researcher (m/f/d) Qualifications and Experience Outstanding academic degree in computer science and engineering, materials science, metallurgy
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16.10.2025, Wissenschaftliches Personal We are seeking candidates for a fully funded PhD position (TVL E13) to work on cutting-edge research in safe task completion for humanoid robots in interaction-rich scenarios. Ideal applicants will have a strong M.Sc. in machine learning, control, or...
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23.10.2023, Wissenschaftliches Personal The Technology and Innovation Management (TIM) Group at the TUM School of Management of the Tech-nical University of Munich, headed by Prof. Dr. Joachim
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Master’s degree in biotechnology, bioengineering, biosystems engineering, chemical engineering, food science, or a comparable field of study, preferably with an affinity for technical tasks - Basic knowledge
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning