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• Title of the proposed topic: Quantum-to-Classical Knowledge Distillation for Robotics: A Quantum Teacher and a Classical Student • Research axis: Axe 3 - AI for Smart and Secure Spaces
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The Luxembourg Institute of Health (LIH) is leading a flagship initiative to build a quantum-safe communication network for healthcare, supported by the Luxembourg government. This ambitious project
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paradigms for artificial control. Understanding how apparently intelligent behavior emerges without neurons raises fundamental questions at the intersection of biology, physics, and artificial intelligence
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) 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 of teaching and
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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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- Economics - Genetics - Genomics - Geography - Computer science and artificial intelligence - Mathematics - Mechanics - Microbiology - Neuroscience and behavioural sciences - Nutrition - Physiology - Physical
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to maximize sampling of specific regions of a turbulent flow. To achieve this goal, the project will rely on physical modeling combined with artificial intelligence–based optimization techniques. The particle
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research axes , as well as research programs in computational biology, addressing the challenges of biological process modeling and multi-scale data integration. Successful applicants are expected to secure
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) 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 of teaching and
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selection and switching in real time Integrate surrogate models with physics-based solvers, e.g. SOFA, FEniCSx, SOniCS, and clinical or phantom data Deploy models on ARSPECTRA hardware, including optimisation