18 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Luxembourg
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understandings of structural behavior and concrete degradation mechanisms. The tasks comprise the development of the tracking system, the development of new concrete damage assessment based on spatially continuous
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The European construction economy faces increasing challenges with respect to sustainability of solutions and digital transformation. The Faculty of Science, Technology, and Medicine (FSTM) is
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- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical data in a FAIR, privacy-preserving, and clinically meaningful manner, with particular attention to unstructured and
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The successful candidate will pursue postdoctoral research in group actions, geometric structures, and smooth dynamics in the research group of Prof. K. Melnick, within the Department of Mathematics
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use parts of these models for planning or control, but they do not take full advantage of the structured, layered information such graphs so far. Therefore, our project aims to tightly integrate S
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The successful candidate will pursue doctoral research in group actions, geometric structures, and smooth dynamics under the supervision of Prof. K. Melnick, within the Department of Mathematics
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Study static spin structures and compute the dynamic (time-dependent) magnetization response, where the intermediate scattering function serves as the key neutron scattering observable Contribute
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therapeutic target identification. GenePPS aims to overcome current limitations of perturbation modelling by integrating large-scale single-cell foundation models with structured biological knowledge encoded in
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of Europe (2016) and structured around UNESCO’s three dimensions for GCE – cognitive, social-emotional and behavioral. The successful applicant will be affiliated with the Institute for Teaching and Learning
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structure, atomic orbits, and model applicability domains Train and benchmark large-scale MLFF models on diverse molecular and materials datasets Integrate uncertainty estimates into active learning pipelines