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, control, and manufacturing problems in real-world applications. We are seeking talented candidates with: •First or upper second-class degree in mechanical, mechatronics, robotics, cybernetics or related
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control, open-source background checks may be conducted on qualified candidates for the position. DTU Nanolab is a common infrastructure and research facility located at and fully owned by the Technical
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for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Civil and Mechanical Engineering develops and utilizes science and technical
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environment. You have an excellent command of English and an enthusiasm for reading widely and writing well. You are willing to perform teaching and service duties. We are interested to hear from highly
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towards sustainable flights. However, there are significant challenges in achieving net zero. This project will explore approaches to achieving robust control of the electrical power system for aircraft
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hub for advanced manufacturing, i.e., Manufacturing Technology Centre (MTC). and with academics from the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute
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the environment and generate physically feasible motion references. Reinforcement learning allows robots to learn control strategies. This dynamic framework surpasses traditional sense-plan-act pipelines
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hub for advanced manufacturing, i.e., Manufacturing Technology Centre (MTC). and with academics from the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute
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robots, tractor-implement automation, communication technologies for vehicles, navigation, guidance and planning, positioning systems, model-based control of mechatronic systems, drives and power systems
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and