45 computer-science-quantum "https:" "https:" "https:" "https:" "https:" uni jobs at Nature Careers in France
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INT-26028 INTERNSHIP IN ORGANOMETALLIC CHEMISTRY FOCUSED ON DESIGNING NOVEL CATALYSTS FOR ADDITIV...
Internship contract – 6 months | Fulltime/40h | From 01.02.2026 on | Belval Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST
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the expertise of Dr. Torsten Bohn in nutrition and health and food chemistry, and Dr. Farhad Vahid in nutrition sciences and nutritional epidemiology. Key Accountabilities Carry out research experiments
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trustworthiness evaluation workflows within the AI Technical Sandbox. Is Your profile described below? Are you our future colleague? Apply now! Education Master in computer science Experience and skills Python
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Department of Geography and Spatial Planning (https://dgeo.uni.lu ) and participate to its activities Your profile Master's degree in human geography, spatial economics, or a quantitative social science field
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(FSTM) 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
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-microbe interactions, and/or vaccines. We also welcome applications from researchers developing innovative artificial intelligence methodologies to advance these areas of biology and health sciences. Why
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, education, and innovation. As part of the international Pasteur Network, the Institut Pasteur fosters collaborations that enhance scientific excellence worldwide. The Technology Department The Technology
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models. Is Your profile described below? Are you our future colleague? Apply now! Education Master’s student in Computer Science, Data Science, or Related Fields. Experience and skills · Solid
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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