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Dietrich on methods for physics-enhanced machine learning. About Us Located in the prosperous capital of Bavaria and home to over 40000 students, the Technical University of Munich (TUM) is one
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02.05.2024, Wissenschaftliches Personal A PhD position within an EU Pathfinder Project (HyperProbe) focusing on the development of Physics-based and Data-Driven spectral unmixing methods
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28.07.2023, Wissenschaftliches Personal Prof. Karen Alim’s group on Biological Physics and Morphogenesis at the TUM Campus Garching uses theoretical and experimental methods to investigate how flow
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06.10.2023, Wissenschaftliches Personal The PhD position is on safety verification of Cyber-Physical Systems at the intersection between control theory and machine learning. The position is full
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
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or comparable degree in physics, biology, bioengineering, material engineering or a related discipline. You have experimental experience in cell/tissue culture, microfluidics, or a related discipline. You enjoy
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as observed in the deep ocean and help unravel how life emerged on earth. Requirements As a suitable candidate, you have an outstanding Master's degree or comparable degree in physics or a related
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or comparable degree in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and
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develop and demonstrate a water-based propulsion system and infrastructure. Goals of the project are lab demonstrations of an end to end in-situ-resource-utilisation (ISRU) process (turning icy regolith
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Python) M.Sc. in Computer Science, Physics or Mathematics or a similar subject area We encourage you to apply even if your profile does not meet all of the requirements for the role yet. Your profile is