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Remote Robot Control”. About us The TUM Munich Institute of Robotics and Machine Intelligence (MIRMI) is a globally visible, interdisciplinary research center dedicated to machine intelligence
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FAult Detection, Isolation and Fault Tolerant Guidance and ConTrol). REACT is a 3-year collaborative effort to develop autonomous fault management solutions for reentry capsule propulsion systems, funded
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at understanding how proteins fold, assemble and are scrutinized by the cellular quality control machinery. We are particularly interested in proteins of the secretory pathway - proteins that allow cells to interact
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biology. We offer a project on feedback control of dynamic condensate assembly and disassembly. The Niederholtmeyer Lab is a synthetic biology research group at the TUM Campus Straubing for Biotechnology
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established LCA metrics, such as CO2 equivalents. - Collaborate closely with interdisciplinary project partners to feed LCA insights, alongside monitoring and diagnostic data, directly into the system's control
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resource extraction. We are offering a PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project aims to develop novel approaches for controlling
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automated vehicles, the design of control center and teleoperation concepts, and sustainable mobility and operational concepts in public transportation. A particular focus is on the technical supervision
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resolve the structural dynamics of working catalysts in situ at atomic resolution, with up to video-rate time resolution under electrochemical potential control. These local measurements are complemented by
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multiobjective optimization is a plus. Very good command of spoken and written English. We offer: A stimulating international research environment at the interface of mathematics and computer science. Close
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Communication and Learning-based Control for Embodied Networked Intelligence (6G-life) (ID: TUEILSY-PHD15) Safe and capable humanoids in interaction-rich scenarios (ID: TUEILSY-PHD12) Act Based on What You See