76 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" PhD positions at CNRS
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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that they can integrate it into their large-scale quantum computer system engineering models. SKILLS. Candidates must have a high-quality background in quantum information or quantum physics, and an
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expected to present his/her scientific findings at national and international conferences and to write research articles based on the obtained results. Where to apply Website https://emploi.cnrs.fr/Offres
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being reachable within an hour train ride). Website: https://www.iemn.fr/la-recherche/les-groupes/physique/nanostructures-qu… In the digital age, the energy consumption of microelectronic devices presents
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. Valyaev, manuscript in preparation. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR8241-VINCES-004/Default.aspx Requirements Research FieldChemistryEducation LevelMaster Degree
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laboratories such as the ENS Physics Laboratory in Paris or the Albert Fert Laboratory in Palaiseau for THz emission measurements. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8191-MATJAM-002
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) and the resulting THz performance. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8520-KONPAP-003/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster Degree
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part of this project, the thesis will focus, on the one hand, on a detailed analysis of gas phase inhibition kinetics by combining experimental and numerical studies to determine global parameters (auto
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fluid. The developments will be applied to various case studies such as supercritical CO₂ Brayton cycles, refrigeration cycles, and heat pumps. Where to apply Website https://emploi.cnrs.fr/Offres
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide