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Field
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, Master's, and Doctoral programmes and is experiencing unprecedented growth, including the recent launch of a Master of Science in Geospatial Data Sciences. Our faculty members are actively engaged in
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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research
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the Hampton Roads Sanitation District SWIFT infrastructure project with a focus on the GIS applications, data analysis, and reporting workflow. The GIS Analyst will compile, manipulate, and analyze geospatial
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Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research Fellow will undertake
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applications, ArcGIS, R statistical software, databases, and use of GPS and other geospatial hardware; 3) Understanding of applied statistical procedures and/or ability to learn new methods; 4) Foundational
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the distribution, dynamics, and interrelationships between humans and their physical environment. Geospatial Sciences applies geospatial technologies to analyze the spatial processes produced or modified by human
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, ecology, or wildlife biology; Remote sensing, geospatial science, or GIS. Demonstrated success in working with people with a wide variety of personal characteristics and viewpoints. Potential to support
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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equivalent) in Geospatial Sciences, Computer Sciences, Architecture and Urban Planning, Environmental Sciences, Geography, Landscape Ecology, or any other related field. • Strong research background in
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direction of Hannah Druckenmiller to conduct research in environmental economics and policy analysis. The group’s research involves using quasi-experimental methods and large, geospatial data to analyze