169 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" "UNIV" positions in Luxembourg
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research in parallel computing, search and optimisation techniques, to provide efficient, scalable and robust solutions to state-of-the-art, large-scale discrete/combinatorial problems. Detailed information
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their results on advanced equipment. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate should develop the following tasks:
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expected to lead ambitious research aligned with the university’s strategic priorities, including cancer research, neurosciences, data-driven health sciences and digital medicine. The ideal candidate has a
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AI4TECS aims to develop the first AI‑powered system that integrates real‑time EC identification using non-target high resolution mass spectrometry data, toxicity prediction, and transformation product
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AI4TECS aims to develop the first AI‑powerAd system that integrates real‑time EC identification using non-target high resolution mass spectrometry data, toxicity prediction, and transformation modelling
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diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes. LIST is dedicated to maintaining an inclusive work
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approaches - such as machine learning, artificial intelligence, or other data-driven methodologies - will be an asset. This position is part of the University of Luxembourg's tenure-track scheme, which offers
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values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff. General information: Contract Type: Fixed Term
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international partners will be supported. For additional information, please contact Prof. Marie FRIEDEL - marie.friedel@uni.lu
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. For further information, please contact Prof. Dr. Christian Schulz (christian.schulz@uni.lu )