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fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic
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doctoral dissertation in Computer Science Assist in teaching activities and help in co-supervising Master and/or Bachelor students Contact: Prof. Dr. Christoph Schommer (Christoph.Schommer@uni.lu ) and/or Dr
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computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society. For more information, please visit our
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diverse backgrounds (e.g., economics, computer science, information systems, engineering, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. The University of Luxembourg is committed to...
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conferences, workshops and in journal papers Provide assistance in organizational matters related to the project DOMINANTS For further information, please contact Holger Voos at: holger.voos@uni.lu
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diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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chemical biology help us address these interactions in health and disease? What molecular mechanisms drive neuroinflammation and axonal damage in multiple sclerosis? For more information, please visit our
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situated in one or combining several mentioned key areas Contribute to ongoing research projects in the social sciences Assist in organising academic events (e.g. in the context of the SocioLab) and outreach
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photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning, and theoretical analysis using Leslie-Ericksen