65 structural-engineering-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Luxembourg
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Successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group
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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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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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role in strengthening the University’s engagement with society. Its activities encompass strategic partnerships, intellectual property and technology transfer, entrepreneurship and incubation, deep-tech
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, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute
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Innovation Fund (EIF), to promote excellence in pedagogy, support technology-enhanced learning, and catalyze student-centered educational innovation across the institution. The Institute emphasizes students as
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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Language Models for Data-to-Text Problems” and involves the study of technical methods and approaches for adapting large language models to tasks mixing text and structured data, such as statistical report
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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