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record in peer-reviewed international journals Experience with remote sensing, LiDAR, and GIS applications Programming skills in Python Background in LiDAR point-cloud analysis and vegetation structure
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on conventional GIS visualization. It centers on building rigorous, high-fidelity, georeferenced 3D environments that serve as the structural backbone for analytics, simulation, and next-generation interactive
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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relations, and environmental justice. Position Overview: The successful candidate will contribute to an innovative study that integrates GIS mapping, data analytics, policy analysis, and community-based
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with the R programming language, geospatial python libraries like geopandas, and GIS software like QGIS. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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, scripts, or lightweight applications using Python, R, or JavaScript Manage research code, data pipelines, and documentation Support the preparation of academic manuscripts, technical reports, and policy
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/GIS, education, or a related field. A strong GPA is important, but not the only requirement. Most of the research will be focused on technology-enabled solutions to aviation problems, therefore, skills
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
effective manipulation of gridded data, such as MATLAB, Python, R, or NCO. Ability to read and do limited modifications of C/C++ model source code. Ability to use Windows or MacOS. Ability to run simulations
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data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality