20 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions in 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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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will develop a multi
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-Doctoral Researcher (f/m) for the ERC-project “Rural Structural Transformation in Developing Countries” (RUSTDEC) Ref: 26-07 12 months fixed-term working contract at LISER (possible extension up to 12 months
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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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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