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Exciting Opportunity in Sustainable Energy Research: Join Us in Advancing Hydrogen Storage Technology! Hydrogen is a critical energy carrier for future sustainable systems. One issue using hydrogen
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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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education in the development of complex and software-intense systems and is characterized by extensive international cooperation as well as close collaboration with the local industry. About the research
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the development of complex and software-intense systems and is characterized by extensive international cooperation as well as close collaboration with the local industry. About the research project The research
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Join us for an exciting and excellent PhD journey to create the future of maintenance! Explore the fascinating future of Net Zero industries where complex and highly automated equipment need
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computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the anthropogenic and natural processes, and their relative
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to understand complex phenomena, creativity and team work are highly valued. Experience in optical communications is not required, but you should have an interest in applying your skills to optical networks. Good
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Autonomous cyber-physical systems (ACPS) have great potential to improve our ways of life, increasing mobility, cutting costs, and saving lives. Considering the complexity of the environments