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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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containerization tools and orchestration platforms (Docker, Podman, Kubernetes), spatial databases (e.g., PostGIS), or 3D modeling workflows. Familiarity with GIS platforms (ArcGIS, QGIS) and web-based data
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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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, 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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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
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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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initiative proven through international publications in peer-reviewed media Didactic skills / experience in e-learning IT skills (e.g. Office, databases, GIS), excellent archaeological excavation and technical
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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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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
of flora and fauna, stable isotopes, programming in R, statistical analysis, and GIS, will be beneficial. Our Department: The Department of Biology at SDU is a dynamic and multidisciplinary environment
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econometrics The candidate should show some acquaintance in managing large datasets and non-traditional data, e.g. GIS, satellite-based, social media Fluency in English; a good understanding of French will be