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Control for Autonomous Robots using S-Graphs), funded by the Luxembourg National Research Fund (FNR). The successful candidate will work under the main supervision of Prof. Holger Voos and will be required
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Control for System Engineering department includes the development of methods and tools for optimizing and controlling the dynamic behavior of systems in a wide range of application domains, in
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of the PhD project is to develop an effective control structure and real-time optimization scheme for a novel continuous bioprocess. The control and real-time optimization will then be validated in experiments
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What’s the Project About? Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is
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studies of orbital currents and conversion mechanisms to optimize the performance of spin-orbit devices Moirés of orthorhombic van der Waals magnets Exploring and controlling curvature-induced non
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Situational Awareness, Planning and Control for Autonomous Robots using S-Graphs), funded by the Luxembourg National Research Fund (FNR). The successful candidate will work under the main supervision of Prof
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chemical production, the focus is on optimizing yield, distribution, or conversion by testing different operating conditions (pressure, concentration, temperature, etc.) and at isothermal conditions. Then
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
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generalizing AI/ML models to enable joint optimization of different RAN functions within or across protocol layers, in some cases, considering the timeframe of the specific RAN operations in the control loop and
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control the growth of perovskite oxides, by implanting Machine Learning data analysis to drive the growth conditions from the targeted/measured properties. The second objective will be to check and optimize