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effects for drug discovery. The successful candidate will play a leading role in developing gene perturbation models that combine foundation models (FMs) and graph neural networks (GNNs) to accelerate
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research, the FSTM seeks to generate and disseminate knowledge, and to train new generations of responsible citizens in order to better understand, explain, and advance the society and environment we live in.
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technologies (fiber-optic sensors, DIC), and computer science (machine learning tools) in collaboration with de department of Physics. The aim of the BriCE project is to develop a novel bridge monitoring
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approach and study the interconnectedness of human activities and the environment. Our mission is to develop sustainable, socially just, and environmentally friendly solutions by bridging disciplines and
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in
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with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty’s research and teaching focuses on social, economic, political and educational issues
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, including collaborations with industrial partners as well as national and international academic initiatives. These projects span the full research and development lifecycle, requiring large-scale
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to global citizenship education (GCE) that can support children in developing knowledges, skills and attitudes for building a more inclusive, peaceful and sustainable future. CHANGES seeks to advance GCE
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We invite applications for a postdoctoral researcher to join the UMLFF project at the University of Luxembourg. The project aims to develop the next generation of uncertainty-aware machine-learning