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treatments using machine learning, R/Python and Google Earth Engine. Selected candidate will use cartographic principles and conventions sufficient to create maps for external and internal use that display
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large remote sensing datasets (e.g., Landsat, Sentinel-2, MODIS) and spatial datasets (e.g., FACTs, FTEM, field data) both locally with R/Python and via Google Earth Engine for wild-treatment outcome
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aware of how data is collected and stored in university central data systems and how it maps to report requirements. Perform other duties as assigned. Working Conditions: Job Location/Working Conditions
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