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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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, 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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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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Inria, the French national research institute for the digital sciences | Paris La Defense, le de France | France | 3 months ago
quantum machine learning, quantum cryptographic primitives, quantum complexity, and quantum error correction. As part of this team, you will work with leading experts to push the boundaries of quantum
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
. Through training, they learn about twenty essential signs that promote safety and clear communication with instructors during dives. However, this panel of signs focuses on diving safety, offering limited
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity