148 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Luxembourg
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contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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across national contexts Work with state-of-the-art research platforms provided by the Impresso project : https://impresso-project.ch/ Contribute to teaching and supervision activities at MA level
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our website: https://www.list.lu/ How will you contribute? LIST is seeking to recruit a two-year postdoctoral position to work on fabrication of the piezoelectric energy harvester based on ceramics
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SD-26083 – POSTDOCTORAL RESEARCHER IN THE CHEMICAL VAPOR DEPOSITION OF METAL ORGANIC FRAMEWORKS F...
: https://www.list.lu/ How will you contribute? The CLEANH3 project investigates the gas phase synthesis of metal organic frameworks for the conversion of small and low-energy molecules into advanced
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SD-26084 – POSTDOCTORAL RESEARCHER IN THE CHEMICAL VAPOR DEPOSITION OF COVALENT ORGANIC FRAMEWORK...
: https://www.list.lu/ How will you contribute? The CLEANH3 project investigates the gas phase synthesis of covalent organic frameworks for the conversion of small and low-energy molecules into advanced
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Opportunities to work on innovative projects and network globally More information is available at: https://marie-sklodowska-curie-actions.ec.europa.eu/calls/msca-postdoctoral-fellowships-2026
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The Research and Development Specialistwill be a member of the Department of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz
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training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years of postdoctoral experience
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understand, explain and advance society and environment we live in. Your role The University of Luxembourg invites applications for a fully funded Ph.D. position in machine-learning force fields (MLFFs