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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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                for pursuing the analysis of data from a research project focused on the identification of clinical, genetic, and bacteriological factors involved in the development of severe bacterial infections (SBI) in 
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                , 28(4), 2673-2683. DOI: 10.15244/pjoes/89544 Usman, H.M. et al. (2024). A Comparative Analysis Assessing Growth Dynamics of Raceway and Photobioreactor Systems. Bioresource Technology Reports, 28 
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                isotope labelling, extraction, profiling and data analysis. The second part of the project, in close collaboration with Ifremer Nantes, will explore the chemical mediation between the dinoflagellate 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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                (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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                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