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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
. The research component will focus on using a combination of satellite remote sensing and sediment transport modeling to understand inland river deltas (e.g. those forming in lakes and non-coastal
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
will contribute to a project examining sediment and/or carbon fluxes and processing from river to estuary using satellite remote sensing and data analysis. The specific research focus is flexible
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safety in order to inform management decisions. The selected candidate will coordinate experimental, field, and remotely sensed data collection and analysis and write technical reports, scientific journal
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– Corpus Christi has a sense of belonging research environment utilizing geospatial science to support data driven decision making. The institute’s research laboratories develop innovative solutions
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: Extensive experience operating a LabSpec 4 NIR spectrometer and Unscrambler software. Salary: Compensation will be commensurate based on the selected candidate’s education and experience. Hybrid/Remote Work
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digital forestry, genetics, ecology, remote sensing, data science, entomology, wildlife and economics. The postdoc will have opportunities to interact and collaborate with other postdocs and graduate
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equivalent) in hand by August 31, 2025. Preferred Qualifications: Ph.D. (or foreign equivalent) in Meteorology, Atmospheric Science, or a closely related field. Experience with field work, remote sensing
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could include topics related to ice and volatiles, planetary thermophysics, surface and subsurface characterization, radar remote sensing, and/or the integration of spacecraft data with modeling. You can
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writing and communication skills. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Required Minimum Education Level PhD Work Location Hybrid — Remote
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, multi- layered spatial data sets (e.g. Remote Sensing and GIS), and contributing to the growth of the interdisciplinary Integrated Coastal Studies Program, which focuses on issues related