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Field
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), environmental epidemiology (M), biostatistics (M), maternal and child health®, biomarkers®, exposure mixtures (I), spatial analysis (I), GIS and mapping (I), toxicology (I), and risk assessment (I) · Advanced
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department
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. Perferred qualifications include PADI instructor-level certification, formal training in monitoring protocols, data-platform or GIS experience, and familiarity with applied science frameworks such as the
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programming and strong quantitative skills. Desirable Demonstrated knowledge of advanced biogeographic, comparative, and phylogenetic methods, quantitative methods in biodiversity studies, GIS in R, and spatial
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analysis and statistical modeling. Experience working with large, complex, and multi-dimensional datasets. Experience with spatial analysis and geospatial data integration, including use of GIS tools (e.g
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supervision The following experience will strengthen your application: Advanced coding skills (Python, R, etc.) Expertise in GIS and data visualisation. Experience applying Machine Learning, particularly
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, Hydrology, Environmental Science, or a related field. Experience in machine learning or AI applications in hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated
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processing and synthesizing different types of social and ecological data at various spatial scales, as well as large spatial datasets in R or GIS ■ Experience working with R ■ Experience in socio
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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the framework of the OCP Sulfur 360° initiative. The successful candidate will contribute to a national-scale assessment of biogenic sulfur potential in Moroccan sedimentary basins. His work will combine GIS