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Field
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-scale ocean biogeochemical changes using a combination of remote sensing, modeling and in situ observations. Specifically, the postdoc will use a combination of ocean color remote sensing observations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors including optical sensors (like Landsat) and other radar sensors. It may
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
: 304827 Vacancy ID: PDS004622 Position Summary/Description: The position will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors
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. Research opportunities will focus on the use of novel modeling tools for hydrology and water resources systems, with an emphasis on machine learning and remote sensing, with a focus on developing detailed
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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Insurance Programs Yes Annual Leave Yes Sick Leave Yes Position Description Advertised Job Summary Postdoctoral scholar needed to conduct research in ultra high resolution remote sensing of sea surface
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taxonomy. Experience with temperate nearshore ecosystems and California Current oceanographic dynamics. Experience developing and applying ocean color remote sensing algorithms to satellite data, especially
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Massachusetts. The potential for hybrid or remote status can be discussed with the preferred candidate. The incumbent will work under the general supervision of Principal Investigator Clem Clay and Co-PI’s Dr
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
field such as Earth Science, Data Science, Computer Science, Remote Sensing, Environmental Science, Statistics, or a related discipline. Technical Skills: Machine Learning & Deep Learning: Demonstrated
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 27 days ago
this opportunity? Please email npp@orau.org Qualifications Background in radar science, radar remote sensing, or radar system design Experience with planetary science data analysis, especially radar