317 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at CNRS in France
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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the regulations, that the arrival of the agent be authorized by the competent authority of MESR. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5026-FREBON0-276/Default.aspx Requirements Research
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the oxidation state and the electric-polarization direction in HfO2. Project included in the activities of the MEM group of CEMES, funded by the labex NanoX. Where to apply Website https
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. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6457-SOPDEP-065/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldChemistryEducation LevelPhD
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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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support machine learning applications for analyzing electron microscopy images of nanoalloys. Model interactions between nanoalloys and carbon substrates to reflect experimental conditions, incorporating
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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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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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may be undertaken. https://www.multimodeoptics.com/team Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7252-VINCOU-003/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD
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). - Familiarity with machine learning principles and generative/classification models (PyTorch Lightning, torch, scikit-learn, etc.), as well as data/model analysis methods (PCA, t-SNE, etc.). - Proficiency in