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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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Medical and health sciences education at the University of Luxembourg is rapidly growing and represents a strategic priority for both the University and the country. To foster high-quality teaching
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Temporary contract | 36 months | Belvaux Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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relevant topics in biology, mathematics, computer science, physics and sustainability. The University of Luxembourg is seeking to make an appointment within the Scienteens Lab as soon as possible for a three
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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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comprehensive technology watch catalog. Main Responsibilities: · Detect emerging AI technologies(e.g., foundation models, edge AI, neuromorphic computing). · Spot industry adoption patterns and
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of the projects Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Computer Science or similar areas. Engineers with a master degree and expertise in the area may also be
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) position in Computational Fluid Dynamics. Advances in computational sciences, machine learning, and artificial intelligence are transforming the study of complex flows. Such systems are prevalent in both
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Applications should include: Full CV, including list of publications Transcript of all modules and results from university-level courses taken At least one publication in full-text, authored by the candidate (If available) Reference letters by prior employers Early application is highly...
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The University of Luxembourg is seeking a passionate and entrepreneurial Research Engineer to join a cutting-edge applied research initiative funded by the FNR JUMP programme at the SnT research