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skills (one or more of the following strongly desired) Exploratory analysis of massive datasets (machine learning methods) Spatial data analysis and Geographic Information Systems (GIS) Forecasting and
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such as OPAL-RT, as well as experience in applying artificial intelligence and optimization techniques to energy systems for optimization and stability enhancement, is highly desirable Specific Requirements
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specifically with data from the Synopse project. Led by Nantes Métropole, the Synopse project (a digital system for observing population health and the environment) is a winner of the national 'Intelligent and
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successful candidate will engage in the following tasks: - Conduct the scientific evaluation of the project. - Perform quantitative data analysis. - Support the scientific leadership of the project by
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management, laboratory techniques (cell culture, biochemical analyses, immunohistochemistry, qPCR), animal model manipulation (rodents, micro-CT analyses, histomorphometry), scientific data analysis and
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knowledge of psychology, particularly in the field of cognitive aging. - Proficiency in R or Python - Proficiency in longitudinal data analysis would be considered a plus. - Strong verbal and written