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Field
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graph analytics, including: Graph modeling and analysis using tools such as NetworkX Graph-based ML or graph neural networks (GNNs) is a plus Deep understanding of PostgreSQL/PostGIS, geospatial analytics
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simulation methods Synthetic data generation or simulation‑in‑the‑loop workflows Exposure to geospatial data, spatiotemporal datasets, or PostgreSQL/PostGIS is a plus. Interest in UI or frontend development
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/PostGIS, geospatial analytics, and large‑scale spatiotemporal datasets. Exposure to UI or frontend development for technical applications, dashboards, or analyst‑facing tools (e.g., Svelte, React
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 18 hours ago
systems, computer science/computer science and information systems, and B.S. in mathematics/M.S. in mathematics. The college also has a B.A. in Physics, Chemistry, Geography and Geospatial Sciences
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identification of fish and invertebrates; 3) designing and conducting laboratory experiments; 4) database management; 5) geospatial analysis; and 6) independent data analysis and writing of reports and manuscript
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CapMetro buses with staff ID card For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards Must be authorized to work in the
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 18 hours ago
/M.S. in mathematics. The college also has a B.A. in Physics, Chemistry, Geography and Geospatial Sciences, Geosciences, Environmental Sciences, Mathematics (and Mathematics with teacher licensure
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across campus in the areas of data visualization and analysis, GIS / geospatial data, digital scholarship, research data management and citation management. Along with these two units, Koerner Library
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, of disciplines, of difference. Our leadership is characterized by transparency and fairness. For more information about our School and its programs, please visit: https://www.jmu.edu/cise/sis/ This posting focuses
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models to approximate posterior parameter distributions and guide efficient exploration of inversion problems. Beyond workflow acceleration, we envision constructing an ISSM-specialized geospatial