185 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" Postdoctoral research jobs at CNRS in France
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has opened a new era in the exploration of the fundamental laws of Nature, and it will be the world's energy frontier machine for the foreseeable future. After the breakthrough discovery of the Higgs
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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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molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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experience in scientific programming is a plus. • Experience in constructing Machine Learning potentials would be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5254
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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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university cafeteria. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7006-JOHSCH-009/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent Research
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supervision of Dr. Bajenoff (http://www.ciml.univ-mrs.fr/fr/science/lab-marc-bajenoff/immunobiologie… ). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7280-MARBAJ-024/Candidater.aspx
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. Location The place of employment and work is the palaeoecological research group of the Department of Environmental Geography, at Toulouse Jean Jaurès University (https://www.univ-tlse2.fr/home/ ), France
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collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process