34 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" uni jobs at Nature Careers in France
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partnering with Perrett Laver in the recruitment to this role. To apply, or to download further information please visit https://plusportal.perrettlaver.com/ quoting reference 8238.The deadline
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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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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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Call for expression of interest SENIOR OR MID-CAREER RESEARCHERS IN ARTIFICIAL INTELLIGENCE, DATA SCIENCE AND COMPUTATIONAL SCIENCES AT THE PARIS BRAIN INSTITUTE PARIS, FRANCE The Paris Brain
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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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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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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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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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, 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