185 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral research jobs at CNRS
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8197-VALHER-223/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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at the crossroads of AI, machine learning, bioinformatics and genomics, and in developing new methods rather than just applying existing ones, we'd like to hear from you. Website for additional job details https
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), Prof. Philippe Jubault (philippe.jubault@insa-rouen.fr ) and Prof. Thomas Poisson (thomas.poisson@insa-rouen.fr ). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6064-TATBES-006/Default.aspx
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Biotechnologie d'Aix - MarseilleCountryFranceCityST PAUL LES DURANCEGeofield Contact City ST PAUL LES DURANCE Website https://www.cite-des-energies.fr/biam/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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recherche interprofessionnel en aérothermochimieCountryFranceCityST ETIENNE DU ROUVRAYGeofield Contact City ST ETIENNE DU ROUVRAY Website http://www.coria.fr STATUS: EXPIRED X (formerly Twitter) Facebook
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database