134 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" PhD positions in France
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carried out under high voltage at LAAS to demonstrate the advantages of these new devices. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7073-MICPEF-095/Candidater.aspx Requirements
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with experimental groups that will study a physical realization of the qubit will be part of the project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5798-FABPIS-015/Candidater.aspx
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gas analysis, a GC/MS, and an HPLC/MS. DFT calculations will be performed using annual allocations on national high-performance computing centers. More details here: https://iramis.cea.fr/en/nimbe/lcmce
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Flows in Geometrically Complex Systems Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7010-ATUVAR-001/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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topic, the work addresses exploration of new concepts and technologies (in particular for reusable launch vehicles), and methodological research which includes MDO, surrogate modelling, deep learning and
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UniversitéCountryFranceCityNeuville sur OisePostal Code95000Geofield Contact City Neuville-sur-Oise Website http://cyu.fr Street 1 rue Descartes Postal Code 95000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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relocation to Grenoble For further information on employment terms and conditions, please refer to https://www.esrf.fr/home/Jobs/what-we-offer.html The ESRF is an equal opportunity employer and encourages
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TO APPLY: Marc.bescond@im2np.fr Where to apply Website https://academicpositions.com/ad/aix-marseille-universite/2026/three-year-phd-p… Requirements Research FieldEngineeringYears of Research Experience1 - 4
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of the interconnection (large size, degraded communication, live-machine interface, etc.) of intrinsically complex and heterogeneous systems. To meet these challenges, traditional design methods based on simulation and a
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learning. Work carried out during the Master's internship has already identified strong trends and tested statistical and machine learning approaches. The thesis will aim to consolidate and update