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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
-robot-teams, haptic assistance, cyber-physical systems, and infrastructure systems. While our core competence is control engineering, we have some interdisciplinary collaborations with the fields
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, or electrochemical CO2 reduction. To do so, the preparation of novel catalyst materials is of pressing concern. You will continue our research line around the preparation of novel catalysts based on mixed metal alloys
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computer science. It offers automatic grading and feedback of various types of exercises. The tool has been used at dozens of universities around the world (including 5 times at TUM) and graded almost a million
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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interdisciplinary cooperations with partners and stakeholders from different domains. Candidates should have completed their Doctoral studies in Computer Science, Mathematics, Mechatronics, Electrical Engineering or