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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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(Working with data supplied by the project partners, Designing visual representations of these data adapted to the analysis contexts, Studying the effects of these representations on understanding
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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
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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