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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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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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of telemetry/SCADA networks; processing and analysis of time-series data using statistical and programming tools (Excel and Python), with the ability to develop predictive performance models. Regulatory
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datasets, and synthesize results for publication and reporting. Proficiency in programming languages and software commonly used in research, such as Python, MATLAB, R, or GIS tools. Excellent written and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 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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health, AI and GIS, food and nutritional security, and occupational health and safety. EGH programs offer a Master of Health Science and doctoral degrees in Environmental Health and One Health. The College
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and offsite data and manage them in appropriate formats and structures relative to spatial and other quantitative data. Ability to use GIS packages such as ArcMap or QGIS. Production of high-quality
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geology, and geodesy Good field expertise in active tectonics and paleoseismology; knowledge of Balkans/Aegean geology is a plus Experience with structural/kinematic analysis and GIS Strong communication
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modelling, and real-time graphics programming. Proficiency in programming languages such as C++, C#, Python, or JavaScript. Strong understanding of UX/UI principles for immersive experiences. Experience in
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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