1,107 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" uni jobs in France
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of the successful candidate. (1) Develop multisource, frugal downscaling approaches. Most downscaling approaches presented in the scientific literature are Machine Learning (ML)-based. The proposing team's experience
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statistical inference, machine learning and population genetics. The expected outcomes include new computational tools for studying B cell evolution, insights into age dependent immune diversity and the
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opportunities for optimizing dielectric and electromechanical properties. Funding category: Contrat doctoral acquis PHD title: Doctorat Matériaux PHD Country: France Where to apply Website https://www.abg.asso.fr
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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hydrology, hydraulics, environmental sciences or signal processing. A strong expertise in scientific programming (Python, MATLAB) is required. Knowledge of machine learning or deep learning will be a
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of the network. The student will acquire skills needed to perform independent research and pursue a successful career in science. These include technical, (inter)personal, management, and time management skills
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 13 days ago
activities organised ? Computer-based work (data analysis, optimization, GIS, coding) Participation in meetings (scientific advisory boards, research committees, etc.) Writing of publications and reports
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recruited candidate will contribute their expertise to the initial training of engineering students and master's students by teaching in the following areas: • Bioinformatics, • Machine learning and pattern
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for managing smart cities. The team has gained substantial experience in machine learning for road traffic monitoring. They are now keen to thoroughly explore the additional opportunities presented by