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Science in Geospatial Data Sciences. Our faculty members are actively engaged in research spanning three key themes: Geospatial Data Sciences (e.g., remote sensing, geographic information science - GIS
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., electronic health records, cohort studies, administrative health and government data, clinical laboratory data, socioeconomic data, and geospatial data). Given the Department of Obstetrics and Gynecology’s
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: · Ingest, harmonize, and preprocess lunar geospatial datasets (e.g., NASA PDS) · Execute spatial analysis routines to generate multilayered geological, geochemical, and geophysical maps
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., the National Park Hunsrück Hochwald) and the resulting trait maps will be analysed together with available forest disturbance databases and geospatial data layers. You will be mainly in charge of
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integrating heterogeneous datasets Proficiency in agile methodologies for team management and project execution Knowledge of geospatial data infrastructure and data cube technologies is an asset Soft Skills
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research, risk prediction modeling, population and medical data linkage, geospatial data mining, multi-omics data integration, and artificial intelligence (AI) applications in health sciences, such as causal
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epidemiology, biological and social drivers of cancer burden, genetic and -omics epidemiologic research, bioinformatics, and/or geospatial mapping. Demonstrated ability to collaborate with a transdisciplinary
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epidemiology, biological and social drivers of cancer burden, genetic and -omics epidemiologic research, bioinformatics, and/or geospatial mapping. Demonstrated ability to collaborate with a transdisciplinary
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
mapping Experience in spatial prioritisation software (Marxan, Prioritizr) and geospatial tools (QGIS, ArcGIS Pro) is a plus Highly motivated and eager to work in an interdisciplinary marine research