200 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" PhD positions in France
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, coordination, quality & popularity. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7332-CATLEV-056/Candidater.aspx Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent
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understanding of the deposition process/film physical chemistry/optical properties relationships Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5266-FREMER-003/Candidater.aspx Requirements
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vision is also highly appreciated. The candidate must also have strong programming skills (Python, C++) and experience with ROS / MC_RTC (preferred). About MAVRICS The PhD is a part of the activities
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Technologies de l'Information et de la Communication Field: Telecommunications / Machine Learning / Statistical Signal Processing. Research Lab: L2S (Laboratoire des Signaux et Systèmes) Advisor: Antoine BERTHET
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, and secondments at leading academic and industrial partners across Europe (Italy and Netherlands for this PhD offer). More information : https://cordis.europa.eu/project/id/101227338 •Master’s degree
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collaboration (neuroscience, artificial intelligence, cognitive psychology) and aims to develop a novel theory of auditory scene analysis in the brain and in machines. In Marseille, the group focuses
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
Sorbonne NouvelleCountryFranceCityParisPostal Code75005Street4 rue des IrlandaisGeofield Contact City Paris Website https://www.sorbonne-nouvelle.fr/projet-europeen-erc-adg-oecologie-the-german-sources
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Location(s) Number of offers available1Company/InstituteUniversité Sorbonne NouvelleCountryFranceCityParisPostal Code75005Street4 rue des IrlandaisGeofield Contact City Paris Website https://www.sorbonne
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), UMR 7053, Nancy, FranceCountryFranceCityVandœuvre-lès-NancyPostal Code54500Geofield Contact City Vandoeuvre les Nancy Website http://www.l2cm.univ-lorraine.fr/l2cm/?page_id=53&%3Bcategorie_actualites
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with machine-learned quantum mechanical force fields trained on diverse chemical fragments. Sci. Adv.10, eadn 4397(2024) Where to apply Website https://ecolecentraledelyon.recruitee.com/ Requirements