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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
descriptive, multivariate, and longitudinal data analysis using licensure data and large secondary population data sources. * Perform geospatial analysis including translating practice addresses to maps and
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. This project requires high-end skills in Geospatial Engineering & Technology including GeoAI, Geospatial Model Building, Remote Sensing Data Analyses, Advanced Image Processing, Data and Image Mining along with
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Internal Number: 6779182 Assistant Professor - Geospatial AI & Coastal Hazards College: College of Science and Engineering - 323 College Dept/School: Earth and Ocean Sciences - 32341 Vacancy Number: 16F-716
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
descriptive, multivariate, and longitudinal data analysis using licensure data and large secondary population data sources. * Perform geospatial analysis including translating practice addresses to maps and
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mobile experiences serving the needs of people with disabilities, older adults, veterans, suburban and rural populations. The GIS Data Specialist will lead the development of geospatial tools and
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an Automated Geospatial Model-based Decision Support Tool for Assessing Road Culvert Vulnerability on US Forest Service Experimental Forests, using Geospatial Engineering & Technology skills and experience
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days ago
Research Infrastructure? No Offer Description Applications are open for 2 (two) Research Studentship(s), within the framework of project GeoARMUR “Geospatial AI for Resilience Management and Urban Recovery
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employer The position is subject to the Statutes of the University Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404789/geospatial-web-rese… Requirements Additional Information
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combination of approaches applied to large datasets, including neuroimaging (multi-modal MRI), multi-omics (e.g., genomics and metabolomics), and geospatial mapping of area-level environment. To facilitate
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, all candidates are invited to read carefully the NUSTPB’s Methodology for occupying didactic and research positions: https://posturivacante.upb.ro/wp-content/uploads/2024/04/Methodology-for-occupyng