36 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" uni jobs at Nature Careers in France
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of this project, you will have developed deep networks in both the quantum and healthcare industries to ideally position yourself for the transition to your next role. The Quantum Program Manager position offers
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, as reliable decisions must often be produced from partially observed data. Event-based sensing and neuromorphic computing offer promising paradigms to address this challenge by providing asynchronous
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program leveraging Artificial Intelligence (AI) and computational approaches to accelerate mechanistic understanding, target identification, and therapeutic development, as part of the ENACT program (https
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researchers in the implementation of their research programme at the host institution. (https://www.fnr.lu/funding-instruments/pearl/) Your Profile… Outstanding track record in the field of translational
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encourages diversity. THE INSTITUTE: The European Synchrotron Radiation Facility (ESRF): https://www.esrf.fr/home.html is a world-leading international scientific research infrastructure supported by nineteen
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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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of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz. The position contributes to the INTERREG-NWE funded AccessHubs project, which examines
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neuroscience, clinical neurology, population neuroscience, mathematics and computer science. It has 12 cutting-edge core facilities for data generation across various scales and modalities (genomics
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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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, 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