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Time) Posting Number req25031 Department Sch of Nat Resource&Enviro-Res Department Website Link https://snre.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights The University
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programming and data analysis tools (e.g., SQL, Python, R, GIS platforms); experience with the management and analysis of human subject data (e.g., from questionnaires, interviews, behavioural experiments, eye
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of coding (R and/or Python), enthusiasm for quantitative analysis Desirable: GIS/remote sensing, bioacoustics, machine learning, or statistical ecology. Field experience is useful but not required. Impact and
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if interested. More information on the internship program is available here: https://kgs.ku.edu/geohydrology-internship-program POSITION: KGS Geohydrology Internship Program STARTING DATE: Week of May 26, 2026
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. The applicant must have experience in Dynamic WebGIS site development. Geospatial (remote sensing, GIS, & GPS) data acquisition and processing through advanced Data/Image Mining Data Fusion Approach development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
sets (e.g. GIS, Python, Tableau, other visualization skills) that can contribute to projects would be an asset. Special Physical/Mental Requirements Campus Security Authority Responsibilities Not
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trends. Experience with statistical computing programs including R, python, stata, or similar program. Experience with GIS and VamaNet or similar program. Pay Band {lPayScaleID} Overtime Status Exempt: Not
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analysis. -Proficiency in programming and data analysis tools (e.g. R, Python, GIS…). -Experience in remote sensing data processing and analysis. - Fluency in verbal and written English - Excellent oral and
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human missions, which could extract the first Martian ice cores. You will combine GIS-based mapping and terrain analyses using data from Mars orbiters with: Numerical ice flow modelling, for example using
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good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Solid programming skills in Python and familiarity with machine