89 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Luxembourg
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on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists
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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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The Faculty of Science, Technology and Medicine of the University of Luxembourg is looking for an Associate or Assistant Professor (depending on qualifications) in Pharmacology for its Department
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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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of Computer Science, Faculty of Science, Technology and Medicine. The ECI PhD candidate will perform prioritized Non-Targeted Analysis across diverse water matrices and case studies, while the AI4Science PhD will
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on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists
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The successful candidate will contribute to a research project at the intersection of engineering (pre-stressed concrete bridges), material science (Cholesteric Liquid Crystal Elastomer), sensing
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usual way of working and the language of communication is English. Our current team members are spread across three universities (University of Luxembourg, Eindhoven University of Technology, and
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Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering and Experimentation: Proficiency with