139 computer-science-quantum-"https:"-"https:"-"https:"-"https:" positions in Luxembourg
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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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) 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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with the nano-drones of the University’s SwarmLab The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Prof. Grégoire Danoy. PCOG conducts
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The successful candidate is expected to take a leading role in defining, acquiring, managing, and scientifically contributing to projects around AI-based health monitoring and Fault Detection, Isolation, and Recovery (FDIR) for space-borne and robotic systems. The candidate will carry a leading...
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In 2023, the University launched four bachelor programmes in specialized nursing sciences in the fields of surgery, anaesthesia/resuscitation, paediatrics, and mental health. A fifth programme
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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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teaching programmes in medicine, life sciences, nursing, radiography and midwifery. Research at the department integrates basic and translational, molecular and computational approaches with a focus on
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will reinforce expertise in digital methods in construction, focused on project management. They are expected to: (i) Conduct research in: Construction informatics, BIM, data science, digital twins AI
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pilots and pre-series devices. We are looking for a postdoctoral researcher to drive the core R&D work that takes the technology from a validated baseline to a calibrated pre-series suitable for field
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technologies (fiber-optic sensors, DIC), and computer science (machine learning tools) in collaboration with de department of Physics. The aim of the BriCE project is to develop a novel bridge monitoring