316 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions in France
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- Paris Cardiovascular Research Center, Inserm U970
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- École nationale des ponts et chaussées
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researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
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University of Savoie Mont Blanc (USMB) that brings together expertise in machine learning and information fusion, as well as networks and systems. It develops methods for processing and managing data in
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. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-postdoctoral-researcher-in-geotech… Requirements Research FieldGeosciences » GeologyEducation LevelPhD or equivalent Skills
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: job-ref-b5v0aivxl9@emploi.beetween.com Work Location(s) Number of offers available1Company/InstituteGRENOBLE INP- UGACountryFranceGeofield Contact City Grenoble Website http://www.grenoble-inp.fr Street
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and Swiss partners. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9001-STECOL-018/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
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https://emploi.cnrs.fr/Candidat/Offre/UMR7313-SOPTRO-001/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
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, nanofabrication, and experimental photonic characterization. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7073-MICPEF-097/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8214-SANLEV-036/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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has state-of-the-art scientific equipment, from synthesis to characterisation of molecular materials Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5031-CORAME0-053/Candidater.aspx
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self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed to irrigate