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and machine learning Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7018-CEDGEN1-002/Default.aspx Work Location(s) Number of offers available1Company/InstituteLaboratoire de
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Magnetism, airborne Gamma spectrometry, airborne electromagnetism, Gravimetry) using semi/ unsupervised Machine Learning algorithms. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-ai
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data processing pipelines for LSST and Euclid, as well as Machine Learning algorithms for photometric redshift estimation and cluster detection. - Processing of external Euclid Data from Rubin/LSST and
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Brain Barrier (BBB), CNS Drug Delivery, Brain Shuttles, Brain Imaging, Medicinal Chemistry, Computational Science, Artificial Intelligence (AI), Machine Learning. MAIN SUB RESEARCH FIELD OR DISCIPLINES1
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programming, CAD or generative design tools, knowledge in crystal plasticity, continuum mechanics, additive manufacturing, data science, and machine learning. Additional comments More information about the
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machine-learning is required, as well as a good knowledge of associated theoretical tools (statistical physics of liquids, ...; programming experience among: Python, Fortran, C, C++, ...). A good command of
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in developing and applying niche models, and population models. Experience with machine-learning will be considered as a plus. Knowledge of paleogenomics, population genetics and isotope geochemistry
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ejection (CME) impacts, but also outside CME periods, when plasma jets are detected. It will involve developing a machine-learning detection tool to extend the event databases corresponding to conjunctions
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, background in black-box optimization and machine learning are a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7606-CARDOE-006/Default.aspx Work Location(s) Number of offers
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simulation and/or machine-learning is required, as well as a good knowledge of associated theoretical tools (statistical physics of liquids, ...; programming experience among: Python, Fortran, C, C++, ...). A