68 proof-checking-postdoc-computer-science-logic PhD positions at Technical University of Munich
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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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. Leonhardt) as part of the TUM Department of Life Science Systems. Starting date is fall 2025. The position is fixed-term (36 months). Salary scale: TV-L 13, 65%. As part of the assigned duties, there will be
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into future technology requirements. The project will be carried out at the Institute of Turbomachinery and Flight Propulsion, bearing the following tasks: - Research on the fundamentals of highly three
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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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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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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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of the Technical University of Munich. In our group, we advance ethical practice and theory in medicine, bio-medical technology, and public health, driven by the belief that embedding ethics is essential for shaping
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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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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