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Ph.D. STUDENT (F/M/D) to study weak covalent bonds in MXene nanoconfinement for battery applications
for materials research, a scientific partner to national and international research institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the
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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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Excellence Programme , which prioritizes the recruitment of female scholars to professorial roles. For an initial period of six months, the University will consider applications exclusively from female
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. The Department of Computer Science (DCS) headed by Prof. Dr. Jean-Sébastien Coron (jean-), is opening an Assistant / Associate Professor (depending on qualifications) position in Artificial Intelligence. Your role
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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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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particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting contemporary history of Luxembourg and the history
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Exploit an existing clinical database containing numerous follow-up FDG/PET exams o Develop modeling methods for the time-series analysis of PET-CT data o Develop a methodological formalism for integrating
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Calatroni, and Laure Blanc-F´eraud. Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers. In Scale Space and Variational Methods in Computer Vision, pages 498–510, Cham