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, to evaluate the potential population count and distribution of beavers. - Use/develop appropriate computer modeling and remote sensing techniques to estimate vegetation greenness, burn severity, and total water
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to 3-years (funded through the Mellon Foundation) Location: In person at the University of Minnesota’s Institute for Advanced Study in Minneapolis. Some remote work is possible. Reports to: Renewal
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Project The Pest Control Living Database Project, funded by USDA Grant #1023888, aims to revolutionize pest management science by combining insect observation datasets, biological traits, and remote sensing
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
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Twin Cities) to work with candidates from their community to ensure they feel prepared to be successful meeting program expectations. The Success Navigator will guide candidates through the creation
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degree with one or more years of research training Broad background in GIS, remote sensing, cartography, and spatial computing Experience managing teams of people with diverse skill sets Ability
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assess ecological patterns and processes. It is preferred that previous experience analyzing data involves a variety of datatypes such as field, laboratory, or remotely-sensed data. Previous experience
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diverse soil and management conditions - Excellent technical knowledge of nitrogen dynamics and loss pathways in crop production - Proficiency in GIS and remote sensing workflows, using tools like QGIS, R
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discussion with the advisor supervisor, with the office being open 8:00 AM - 4:30 PM, Monday-Friday. UHP advisors have the option of a flexible work arrangement, allowing for a maximum of two remote days per
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Justice to support the growth, development and sense of belonging for all students and colleagues Assist a diverse population of students in navigating resources to support their academic and personal well