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degree in electrical engineering, energy systems, applied mathematics, operations research, or a related field. Core competencies: • Strong background in mathematical modeling and optimization applied
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the scientific goals of the PhD. Interactions with the Berkeley team will be supported and facilitated by the IRL Centre Pierre Binétruy. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR9012
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
analyse the people’s reactions. The RPC-JaM project is composed of 4 partners (Centre Inria de l’Université de Lille, LS2N in Nantes, FEMTO-ST in Besançon, ENSADLab in Paris) in relation with le Lieu Unique
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Institute of Nanoscience (Institut des NanoSciences de Paris, INSP), a Joint Research Unit (UMR 7588) affiliated with the French National Centre for Scientific Research (CNRS) and Sorbonne University
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[email protected] Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications The candidate should hold an Engineer Diploma or a Master degree. Core
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this mainly experimental project, the selected doctoral candidate will work at the core of the MSCA-DN TRADES, focusing on the development, implementation and validation of advanced metrology methods to assess
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centre of the University of Lille and be part of both the LOOP and DEFROST research groups, respectively specialized in Human-Computer Interaction and Soft Robotics. Both teams are affiliated with
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sampling methods (kick-sampling, transects), across roughly thirty sites in different contexts, ranging from human-impacted areas to core reserve zones. Contribute to developing DNA barcode reference
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management. Where to apply Website https://brgm-recrute.talent-soft.com/job/emploi-chercheur-doctorant-criticite-e… Requirements Research FieldGeosciences » OtherEducation LevelMaster Degree or equivalent
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Science, or Artificial Intelligence. Core competencies: • Strong knowledge of Python and machine learning (classification, anomaly detection, clustering) • Knowledge of the Semantic Web and knowledge