29 machine-learning-"https:" "https:" "https:" "UCL" "UCL" PhD research jobs in France
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking
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, including machine learning and language technologies, for the integration and analysis of clinical, advanced data harmonisation, and next generation research infrastructures. You will contribute to research
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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users, thanks to the use of machine learning tools and techno-economic analyses. This project is aligned with the sustainable development goals (SDG) 7 and 10 of the United Nations, by promoting a low
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” team. Website: https://cermav.cnrs.fr/en/equipe/physico-chemistry-and-self-assembly-of… Team Leader: R. Borsali The successful candidate will be responsible for synthesizing glycopolymers based
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laboratories such as the ENS Physics Laboratory in Paris or the Albert Fert Laboratory in Palaiseau for THz emission measurements. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8191-MATJAM-002
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City Montpellier Website http://www.umontpellier.fr/ Street 163 rue Auguste Broussonnet Postal Code 34000 E-Mail frederic.cuisinier@umontpellier.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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6 Mar 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Computer ingineering Research Field Engineering » Computer engineering Researcher Profile First
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide