112 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" PhD positions in France
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. The list of PhD projects is accessible online: https://www.tec21.fr/phd-tec21 What we offer : 7 fully funded PhD positions with employment contract, competitive salary (monthly estimate net salary between 2
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, the candidate will help the team on the following tasks and research areas : - improve integration of the framework with learning/inference framework (PyTorch, Keras, AIDGE, ...) - improve implementations of low
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Mulhouse, France (http://www.is2m.uha.fr/ ) under the direction of Dr Valeriy Luchnikov, a member of the “Wetting and Self Assembly” research group, and Prof Thierry Vandamme, Faculty of Pharmacy of
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
of material deposited, while maintaining the expected accuracy. Part of the activity will also involve implementing Artificial Intelligence (AI) methods similar to computer vision to facilitate this prediction
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job details https://www.ifpenergiesnouvelles.com/ Work Location(s) Number of offers available1Company/InstituteIFPEN LyonCountryFranceState/ProvinceRhone-AlpesCitySolaizePostal Code69360StreetRond-point
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inhalation. Required skills : : organic synthesis, physico-chemical characterization, nanomedicine Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7325-VALSEV-154/Candidater.aspx Requirements
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to climate change) under the supervision of Dr. Ashley Shade in the “Bacterial Efflux and Environmental Resistance” team. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5557-BEABIG-045
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manager and maintain regular communication with all other relevant stakeholders. Where to apply Website https://utc.recruitee.com/o/chercheur-contractuel-fh-modeles-predictifs-securit… Requirements Research
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in the Khaybar oasis during the Islamic period. The researcher will be hosted within the UMR 7298 team in Aix-en-Provence. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7298-DIAALB
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, soil, and plants aid in the collection of real-time data directly from the ground. Based on these historical data predictive machine learning (ML) algorithms that can alert even before a problem occurs