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on astrophysical source populations and dark-matter signals, exploiting statistical correlations across datasets to break degeneracies that limit single-probe analyses. The framework will be validated on synthetic
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responsibility. Secondary Activities 1) Contribute to the training of team members (PhD students, interns). 2) Participate in scientific outreach activities. 3) Conduct a scientific watch on advances in fluvial
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of aerosol chemical composition profiles. These methodologies will be extended to monitor stratospheric sulfate aerosols within the framework of the ESA STATISTICS and STATISTICS-II projects. The successful
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology
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and water content. Statistical analyses of satellite data describing forest dynamics, and their correlation with pre-defined climatic indicators for the dry season. The Institut des Géosciences de
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scientific publications. Desired skills: - PhD in soil science / microbial and/or viral ecology - Molecular biology - Experiments in soil mesocosms and/or microcosms - Strong knowledge of statistics - Ability