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The SnT is seeking a Postdoc to support the research and development work within the SEDAN group. We seek a candidate with expertise and/or interest in the following relevant fields: machine learning and cybersecurity. The candidate will the opportunity to work on a CORE project funded by the...
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Deadline 26 Aug 2026 - 09:16 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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expansion. The postholder will also have the opportunity to contribute to the construction of a projected new Master’s programme and to teach within the doctoral and lifelong learning programmes
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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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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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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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The University of Luxembourg is seeking a passionate and entrepreneurial Research Engineer to join a cutting-edge applied research initiative funded by the FNR JUMP programme at the SnT research
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Programme , which prioritizes the recruitment of female scholars to professorial roles. For an initial period of six months, the University will consider applications exclusively from female candidates
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strategic expansion, the DLSM seeks a Professor who, within the next 5 years, will coordinate the department’s medical domain and will work closely with study programme directors, clinical partners and
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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