100 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "inserm" positions in Luxembourg
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that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . The candidate will be funded through an industry partnership with Luxembourgish Leader
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, and information extraction. The position is linked to the Interdisciplinary Research Group in Sociotechnical Cybersecurity (IRiSC-https://irisc-lab.uni.lu/ ) within the Interdisciplinary Centre
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that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . Successful candidates will perform the following tasks: Conduct cutting-edge research in
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. The group consists of doctoral and post-doctoral researchers from diverse backgrounds. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects Successful candidate
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technologies that have a positive impact on society. For further details, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/ The candidate will support project partnerships with
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technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects The successful candidate will pursue a Ph.D. degree (Doctorate) in
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that positively impact society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/
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In 2023, the University launched four bachelor programmes in specialized nursing sciences in the fields of surgery, anaesthesia/resuscitation, paediatrics, and mental health. A fifth programme
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Due to the expansion of our educational programs in health professions, we are now recruiting a Professor in Nursing Science with a focus on perioperative nursing or in psychiatric nursing
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programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or other large-scale biological data), using statistical