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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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mathematics for Grade 1 in the frame of the Luxembourgish School Monitoring Programme - Épreuves Standardisées (ÉpStan). At LUCET, you will work in a collaborative and research-driven environment, contributing
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About the LCSB The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct...
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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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transcriptomics) opens new research horizons on cancer pathologies. These data, of very large dimensions and volume, bring new methodological challenges in terms of statistical and mathematical analysis, as
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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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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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participate to scientific life of the teams. 3- Profile and skills required We are looking for a candidate with competences in Artificial Intelligence models, medical image processing, and mathematical modeling
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or equivalent in data science, signal processing or applied mathematics and will require a strong background in theoretical as well as computational aspects of linear algebra, optimization and signal processing
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]. The complexity of these issues is amplified in the FL setting, where each participant has only access to its own data. Candidate profile: The candidate should have a solid mathematical background (in particular