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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 26 days ago
information (in situ and remotely-sensed observations as well as climate and weather model output) to enhance decision support across a range of impact sectors and applications (in particular related
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research on new models integrating terrestrial plant biodiversity, ecosystem productivity, hyperspectral remote sensing and airborne LiDAR to test prominent hypothesis of the effect of tree diversity
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and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated ability to conduct independent research and publish high-quality
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-based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must
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engineering, computer science, data science, geospatial statistics, or related discipline. Required Knowledge, Skills and Abilities: Familiarity with remotely sensed geospatial data products (UAS and satellite
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environment that fosters professional growth, personal development, and a strong sense of community. With a commitment to diversity, equity, and inclusion, we value the unique perspectives and experiences
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 27 days ago
cadre of satellite and airborne remote sensing platforms, termed ‘plume imagers,’ is demonstrating increasing ability to detect geologic emissions of CH4 and CO2 emissions from space. Unlike ‘area mappers
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, University of Maryland, and Stroud Water Research Center in the areas of hydrologic and biogeochemical Modeling and water quality remote sensing. The postdoc will contribute to research activities of a NASA
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and Neuromodulation Lab, the first decoding of electrical activity in deep brain structures during abnormal movement in Parkinson’s disease patients was performed using novel and investigative sensing
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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