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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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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
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graphs and related structures, limit theorems, stochastic calculus and applications, for example in machine learning and mathematical statistics Participation in the scientific activities of the department
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engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data Research Associate Role: Under the direction of their supervisor, the candidate
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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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The Y-LOCAL project examines the enabling factors and structural conditions that allow young people to feel socially integrated and supported within their local environments. At its core
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structural approaches to topics related to migration and mobility. Candidates should also contribute to policy-relevant research and have a solid theoretical understanding of economic mechanisms. Demonstrated
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if required by the project, the structure or the needs of the laboratory. For further information, please contact Prof. Dr. Elisabeth Letellier Elisabeth.letellier@uni.lu