56 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Nature Careers in France
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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2026. The interested individuals are expected to fill in the following form: https://form.jotform.com/260435174909360 . They will be able to upload the requested documentation directly on the form (as
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motivation to pursue a research program addressing new challenges in AI, data science and/or computational science to advance neuroscience and brain health Collaborative mindset and eagerness to leverage
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citizens in their choices, public authorities in their decisions and businesses in their strategies : https://www.list.lu/ How will you contribute? The trainee will work within the LIST AI Technical Sandbox
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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role The University of Luxembourg (UL) invites applications for a postdoctoral researcher position within the Department of Computer Science (http://dcs.uni.lu ). The candidate should have a research
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(https://research.pasteur.fr/en ). Located in central Paris, it offers an unparalleled research environment with state-of-the-art laboratories and core facilities (technological platforms, animal
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
in Computer Vision; 2009 Oct 12–16; Trégastel, France.Available from: https://inria.hal.science/inria-00404638v1/document 5. Micicoi G, Grasso F, Kley K, Favreau H, Khakha R, Ehlinger M, et al
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607