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(segmentation analysis by machine learning) and automatic language processing on large quantities of digitised historical photographs and their metadata. - management, enrichment and structuring of project data
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and machine learning Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8254-SYLDES-005/Default.aspx Work Location(s) Number of offers available1Company/InstituteLaboratoire
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13 Feb 2025 Job Information Organisation/Company Ecole Centrale de Nantes Research Field Engineering » Geological engineering Engineering » Computer engineering Engineering » Computer engineering
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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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integration (including environmental sensors and eye-tracking technologies), strong machine learning and deep learning skills (especially embedding models and spatial data analysis), and experience in
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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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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
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machine learning approaches, and genetic approaches to manipulate the expression of candidate genes in microglia in vivo. The project capitalizes on a cell-therapy recently developed in the team, which
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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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machine learning model on traffic features. And yet, these models have not made the transition to practice at ISPs. While inference models have shown to be accurate, their adoption has been slowed by