27 quantum-engineering-"https:"-"https:"-"https:" PhD positions at Technical University of Munich
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cancer. The job The technology of photoswitching-optoacoustics bears massive promise to visualize small cell populations and their functionality without background deep in the live animal (see Stiel, Nat
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, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong research interest in telerobotics, shared control, human–robot interaction, or networked control
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Master’s degree in physics, chemistry, materials science, chemical engineering, or a related field who are excited about applying machine learning and data science to real-world materials challenges
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, chemistry, materials science, or materials engineering, or a closely related field · Experience with cellulose and its processing technologies e.g. fiber spinning, extrusion, as well as characterization
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applications, technology, and research. Compensation The position will be paid in accordance with the Collective Agreement for the Civil Service of the Lands (TV-L). Your qualifications • A Master’s level
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- Good PC and programming skills (e.g., with Python, MATLAB) - Experience with measurement techniques and field measurements using sensor technology (ideally using seis-mometers, geophones, etc.), as
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Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called “Health and Usage
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according to the German public sector rates. Applicants should be available from December 1st , 2023. The Chair of Computational Modeling and Simulation is part of the TUM School of Engineering and Design
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applications, through high-performance microbial bioprocesses (“precision fermentation”) and tissue-engineered cultured meat from animal cells. Requirements We are looking for applicants with a Master’s degree
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21.10.2021, Academic staff PhD Position at TUM Department of Science, Technology & Society (65% for 3 years) within a DFG-funded research project led by Dr. Susanne Koch and affiliated with