276 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" positions in France
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In the context of ongoing transformations of wireless technologies, the laboratory LS2PR investigates innovative network topologies and digital signal processing schemes. On the one hand, novel network topologies based on distributed MIMO, formerly referred to as cell-free massive MIMO aim to...
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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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. Bouveyron, P. Latouche and R. Zreik, The Stochastic Topic Block Model for the Clustering of Networks with Textual Edges, Statistics and Computing, vol. 28(1), pp. 11-31, 2017 - C. Bouveyron, M. Corneli, P
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Robotic systems operating in dynamic, human-centric environments require reliable perception capabilities to ensure safe navigation, effective interaction, and long-term autonomy. Accurate spatial and temporal understanding is essential for anticipating human behaviour, responding to...
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on teaching and learning languages in pre- and primary school, with a special focus on children's German and/or French literature, in both the Bachelor of Science in Education (BScE) programme and the Bachelor
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Practical experience in proteomics and interactomics is a plus Practical experience in ribosome biology is a plus Experience in bioinformatics/computational biology is a plus Practical experience of protein
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at the department integrates basic and translational science with molecular and computational approaches, with a focus on cancer biology and clinical research in human health and disease. Health and Medicine are a
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) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic
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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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programme in molecular biology or Immunology. Great hand-on laboratory experiments with molecular and cellular biology. Good statistical knowledge and hands-on experience with statistical programs (e.g., R