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contributions to geometry and dynamical systems. The targeted profile covers real and complex analysis, harmonic analysis, analysis of PDEs for geometry, contributions of analysis to the following areas: theory
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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate
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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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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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these applications are generating structured, high-dimensional data with non-trivial and intricate geometric properties. These data often display complex relationships and dependencies that go beyond
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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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the first Réseau de Compétences Maladies Neurodégénératives/ParkinsonNet (RdC-MN) funded by by the Ministry of Health and Social Security. The “Programme for Dementia Prevention ” (pdp) is a first nation-wide
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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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Dynamics. Advances in computational sciences, machine learning, and artificial intelligence are transforming the study of complex flows. Such systems are prevalent in both industrial physic-chemical
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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