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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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prevent over-consumption of fatigue life while balancing optimal production. This doctoral research will seek to speed up physics-based simulations of wind turbine structural responses through machine
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Job description We are seeking a highly motivated and talented PhD researcher in the field of mechanics of materials. You will work in the areas of computational mechanics, multi-physics modelling
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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a virtual replica of a physical system updated with actual sensing information and simulated in synchronism with its physical counterpart. Digital twins can provide deep insight in the behavior and
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control & automation, robotics. You have proven experience with the control, modelling and simulation of mechatronic & robotic systems. You have proven experience in Python and/or MATLAB. You have
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also discovered key viral and host proteins involved in this viral immune evasion process. In the current PhD research track, we want to investigate the mechanisms underlying the impact of PRV on gap
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Research, Computer Science, Business Engineering, Informatics, Mathematics, Physics, or equivalent. The degree requirements need to be fulfilled at the start of your appointment. For degrees awarded outside