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logs, assists with draft geospatial information system (GIS) map preparation, participates in field verification and vegetation assessments, compiles draft ESR classifications, and drafts portions
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interdisciplinary research group dedicated to developing integrated approaches to geospatial systems analysis. Our team pushes the boundaries of how spatial data can be used to tackle today’s pressing environmental
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undergraduate programs. The library system provides access to millions of resources in various formats, including electronic, print, audio-visual, data and geospatial materials. UTL also boasts impressive
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technical lead for the University’s geospatial, space inventory, and facilities-related data environment. Responsible for the development, maintenance, integration, and application of GIS and spatial data
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· Monitors and applies the best geospatial industry practices · Maintains data integrity and accuracy · Utilizes ArcGIS Desktop, ArcGIS Pro, or ArcGIS Online in data visualization
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professional support in areas of moderate to advanced complexity, including spatial analysis, modeling, and geospatial systems research, to help evaluate business objectives, define user requirements, and
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research centers focusing on geospatial intelligence, human health and immunology, advanced bioproducts, and AI-driven small molecule discovery and has built a network of collaborators around the country
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The Faculty of Agriculture and Forestry invites applications for the position of University lecturer in Geospatial data science and AI, from 1.5.2026 onwards or as agreed. The permanent position
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socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial datasets and remote sensing pipelines, (2
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(flow measurements, cross-sections, channel/culvert inventories, survey control); manage QA/QC, metadata, and rating-curve development.) Develop geospatial inputs/outputs (LiDAR/DEM prep, roughness