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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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of optimization and flexible query answering reduction or enrichment because it impacts on which L-grades (and their corresponding objects) are kept into consideration for further computations. • Fusion relates
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for wind turbines, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime consumption while guaranteeing optimal power production
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designed and is managed to optimally use the available electrical and thermal energy. In essence, focus has shifted from optimizing production goals and subsequently determining where and how to get energy
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Job description PhD - Researcher in the domain of Smart Warehouse Optimization The ISyE (Industrial Systems Engineering) research group is active in the domains of Smart Manufacturing Systems Design
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. The central aim is to design intelligent systems that dynamically adapt the environment to support optimal learning conditions, based on real-time neurophysiological feedback. Key principles guiding
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on the machine. Hence, the Digital Twin must be capable of relating machine settings and parameters to process quality and performance, and subsequently compute the optimal parameters. Potential applications to be
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Job description PhD position in computational neuroscience - Deep reinforcement learning closed-loop control for the treatment of epilepsy As part of the highly prestigious ERC Starting Grant
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radar-based sensing. You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio platform supports a
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-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV, containing one or more references, a copy of your diploma (if already in