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interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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mathematical backgrounds, evidenced by grades and/or prior publications. Additionally, the candidate should have expertise or a strong interest (evidenced by familiarity with fundamental concepts) in several
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should have strong digital signal processing and mathematical backgrounds evidenced by grades and/or prior publications. Additionally, the candidate should have expertise or strong interest (evidenced by
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interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering
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Science, Applied Mathematics, or Physics with an electromagnetic background Strong theoretical knowledge in some of the following areas: Radar Systems and Signal Processing Optimization methodologies Machine
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degree in Energy Policy, Energy Economics, Information Systems, Mathematics, Operations Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in
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, please contact and Your profile Master's degree in Computer Science, Data Science/Data Analytics, Mathematics, Information Systems (Engineering) or related disciplines Understanding of blockchain
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interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering