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Field
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researchers from the Department of Plant Sciences and Computer Science at the University of Cambridge, focuses on using Geospatial Foundation Modelling to generate a globally consistent high-resolution habitat
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models, working with Geographic Information Systems, handling large geographical datasets, statistically analysing (geospatial) data, and intensely collaborating with researchers from different disciplines
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to conduct research in environmental economics and policy analysis. The group's research involves using quasi-experimental methods and large, geospatial data to analyze interdependencies between society and
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to develop data-driven, space-time explicit precision agronomic solutions Utilizing high-performance computing (HPC) systems for large-scale geospatial data processing, model training, and validation Designing
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process with Okanogan-Wenatchee National Forests and create geospatial tools for wildfire, prescribed burning, and cultural burning related smoke trade-off analyses and quantitative forest landscape
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FAPESP Project: RedeFloresta: Geospatial decision support platform for the restoration of landscapes and ecosystems in the state of São Paulo (Public Policy Research Program - PPPP)FAPESP process
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the Critical Infrastructure Resilience (CIR) Group in the Human Dynamics Section, Geospatial Science and Human Security Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL
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archaeological finds. Conducting geospatial analyses in GIS, including work with LiDAR data, aerial imagery, and other remote sensing data. Developing a webGIS platform to host field-collected data, legacy
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subcontracted through Fort Valley State University. This project requires high-end skills in Geospatial Engineering & Technology including GeoAI, Geospatial Model Building, Remote Sensing Data Analyses, Advanced
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. The University of North Georgia is accepting applications for an Undergraduate Research Assistant to work on the GA-DNR grant project subcontracted through UGA. This project requires high-end skills in Geospatial