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Field
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. Development and integration of state-of-the-art machine learning techniques in the analysis and event reconstruction will be a major component of this work. - Characterization of silicon detection modules using
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are seeking a candidate holding a Master 2 degree in computational biophysics, structural bioinformatics, or a related field. Knowledge of statistical mechanics and/or machine learning would be an asset
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particular interest in languages in contact and language teaching and learning. For further information, please visit INSPE Grenoble's and LIDILEM's websites. Teaching In primary education, teaching will
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learning French and settling in France (relocation agency). Eligibility criteria Candidates must submit their application packages via this link: https://docs.google.com/forms/d/e
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, environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Presentation of CNRS as an employer: https://www.cnrs.fr/en/cnrs Presentation of IRISA as the host laboratory
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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Grenoble Alpes (UGA). It trains future primary and secondary school teachers, as well as future senior education advisers (conseillers principaux d'éducation, CPEs) (https://inspe.univ-grenoble-alpes.fr
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and machine learning. Gathering
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and