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decisionmaking modules that must operate under strict constraints on latency, compute, energy, and reliability. In many robotic platforms (mobile robots, drones, autonomous vehicles, ...), inference must execute
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mathematical modeling, optimal control, and Bayesian optimization. Expected skills We are looking for a candidate with a Master 2 degree in physics, mechanical engineering, or applied mathematics. We expect a
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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skills We are looking for a candidate with a PhD in physics, mechanical engineering, or applied mathematics. We expect a strong background in dynamical systems, reinforcement learning, and optimization
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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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Category Electromagnetism, electrical engineering Contract Internship Job title Interaction between energetic particle driven instabilities and microturbulence in tokamak plasmas H/F Subject Tokamak
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part of the Faculty of Science, Technology and Medicine of the University of Luxembourg. DLSM coordinates all teaching programmes in life sciences, medicine, nursing, radiology and midwifery. Research
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Research axis of the 3IA: AI for Computional Biology and Bio-inspired AI The laboratory Benoît Miramond is Full Professor in Electrical Engineering at LEAT laboratory from University Côte d’Azur
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significant computational component. We strongly recommend a background in machine learning and coding. Applicants with a background in areas such as computational neuroscience, reinforcement learning, or deep
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technology and in the field of monitoring is also required. Therefore, information on relevant experience must be included in your application. Relevant experience in leading scientific working groups and