367 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions at CNRS
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, fluid, and gas transfers on the formation of resources such as natural hydrogen. This issue will be re-evaluated in the Aquitaine Basin and the northern Pyrenees. Where to apply Website https
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College London, through the Imperial- CNRS International Research Lab on Multiscale Metabolism. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8199-HELDEG0-047/Default.aspx Requirements
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to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7261-AICBEL-047/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research FieldEnvironmental
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• Openness to interdisciplinary research (climate and social sciences) • Good level of scientific English Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UAR636-ALERUB-040/Default.aspx
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visit the website: https://www.is2m.uha.fr/ . The thesis will be attached to the doctoral school of physics and physical chemistry (ED182), which is co-accredited between Unistra and UHA. The doctoral
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for administrative registration. See: https://www.ehess.fr/fr/doctorat-anthropologie-sociale-et-ethnologie • Applications must include the following documents: - a CV - a cover letter + 2 letters of
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and optimize their properties for neuromorphic computing through combined electrical and MOKE measurements, and train them to achieve artificial intelligence tasks. - Micromagnetic simulations - machine
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, brings together around 300 people and is one of the leading centers for fundamental research in biology in the Paris region. The host team (https://www.ijm.fr/recherche/duharcourt-lab-vf/ ) is particularly
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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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mathematical models using a reasonable number of physical variables; (2) the observations of extreme weather events used in the learning bases of DNNs are much rarer than those of standard events. This induces a