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Field
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
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: Geographic Information Systems (GIS): Knowledge of GIS for spatial analysis, including tools such as ArcGIS or QGIS. Publication & Presentation Experience: Experience in publishing research in peer-reviewed
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Application requirements Applicant CV or NIH biosketch Personal statement (limit 2 pages) of research experience and future plans Proposed research program: Applicants currently at Duke working with Duke GI T32
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 10 hours ago
communication skills Ability to work in a team setting and be self-motivated Other Requirements: Established publication record in peer reviewed journals Preferred Qualifications: Experience with GIS, UAV data and
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for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical, chemical, and biological components into the river-lake network models
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Computer Science. Familiarity with geospatial data formats (e.g., GeoJSON, Shapefiles, netCDF) and spatial databases. Knowledge of GIS software including both Desktop and Server. Familiarity with middleware and API
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based
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preferred. Experience in custom coding, advanced statistical modeling, GIS will be preferred. Outstanding candidates with expertise in related areas will also be considered. Primary Responsibilities
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graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
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traps, statistical analysis of animal behavior, and GIS/geospatial analysis. The task of the new team member will be to capture and radio collar foxes and coyotes in and around the Twin Cities Metro Area