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paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC
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. The ideal candidate is expected to demonstrate a track record of advanced hydrologic and hydraulic modeling, integrating radar/satellite precipitation, and data-driven methods to deliver actionable tools
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) fluxes. Using experiments conducted in both soil mesocosms and microcosms, this postdoctoral project aims to assess the effect of hydrological disturbances caused by climate change on interactions between
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excellent core facilities (imaging, genomics, research computing, etc.) and the Saint Anthony Falls Laboratory (https://cse.umn.edu/safl ), a unique and globally recognized facility for pioneering research in
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hydrological conditions (humid tropical, oceanic). The system is characterized by extensive existing datasets (geochemistry, hydrogeology, seismic, magnetotelluric), supplemented by new data acquired as part of
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 21 hours ago
Posting Details Posting Details Position Title Assistant Professor of Watershed Science and Management External Link to Posting https://jobs.uncw.edu/postings/40495 College College of Science and
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sciences, hydrology, or another suitable field. Strong expertise in environmental remote sensing and geospatial data analysis, and experience with at least one major observation technology or dataset type
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climate change, biogeography, hydrology, land surface processes, planetary health, or environmental systems. Have a strong record of high-impact publications in reputable international peer-reviewed
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, and hydrology. Before applying, candidates must identify and contact at least one (preferably two) Princeton University faculty members who are willing to provide collaborative research supervision and
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community partners to ensure outputs reflect local priorities and inform adaptation planning. Duties may include: Develop spatially explicit computational models using machine learning, hydrologic, and energy