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of robotics, electromobility and autonomous driving. We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and
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or to: TU Dresden, Chair of Machine Learning for Robotics, Prof. Dr.-Ing. Roberto Calandra, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you
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the marine environment, irrespective of weather or lighting conditions. Combined with the latest in robotic technologies and Artificial Intelligence (AI), these opportunities could become a step change in
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), robotics and computing, construction production processes, and life cycle and sustainability analysis (LCA). The successful candidate will be responsible for conducting cutting-edge research in the field
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and robotics). Proficiency in Python, MATLAB, and/or C++ programming dialects (knowledge in other languages will be valued). Marine fieldwork experience with deployed platforms is an advantage. You must
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. If you think this position looks interesting and in line with your qualifications, you are welcome to apply. If you have any questions about the position, please contact Prof. Mehdi Zadeh, email
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Supervisory Team: Dr N.C. Townsend, Prof A. Murphy PhD Supervisor: Nick Townsend Project description: In this PhD project you will explore novel wave energy harvesting systems for maritime robotic
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textiles, materials, soft robotics, sports, healthcare, machine learning and AI, with globally leading industrial and academic partners. Your Project The project focusses on the healthcare and sports
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general area of control & dynamical systems with application to mobility. Project background The candidate will work on the “Efficient Safe Train Dynamics” (ESTRA) project, in collaboration with Prof
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methods and operation of robotic liquid handling equipment, as well as automation of assay methods, is highly advantageous. Experience with immunologically based techniques and experience with Excel