69 associate-professor-computer-science PhD positions at Technical University of Munich
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to Biodiversity Exploratories, a renowned large scale experiment maintained by a large group of internationally renowned scientists, associated PhD students and Postdocs. • Free access to transferable skill and
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distinguish you both professionally and personally. • You have obtained very good diploma or master’s degree in forest sciences, economics, environmental science, geo-information science, landscape ecology
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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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at conferences. The PhD program has a duration of three years and with the PhD degree offered by TUM. Qualifications A Master’s degree in Operations Management, Computer Science, Industrial Engineering, Economics
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profile: • Very good degree (Master or Diploma) in aerospace engineering, mechanical engineering, computer science or a comparable field. • Experience in machine elements, structural analysis, fault
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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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. Candidate´s profile: • Master’s degree in Life Sciences, in Computational Biology or MD degree • Previous research experience in immunology • Experience in flow cytometry, cell culture and in high-dimensional
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and science communication skills. Our offer We offer a position limited to three years, starting in autumn 2025, with a salary based on the Collective Agreement for the Civil Service of the Länder (TV-L
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starting in 2025 within the TUM School of Life Sciences. The group is committed to uncovering mechanisms by which crop plants can increase the uptake of micronutrients from the soil and transfer them
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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