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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
. Description: The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
Science, Physics, Engineering or similar Expertise with instrument calibration, deployment and data processing Expertise with remote sensing of the atmosphere (aerosols or clouds) Expertise with the use
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California. This research integrates multi-platform remote sensing with in-situ datasets to establish baselines, evaluate trends, and analyze anomalies in water quality responses to environmental perturbations
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
innovative research that links in-situ biodiversity observations with NASA remote sensing to generate products and insights that enables NASA stakeholders and partners, including CA-SSN, to quantify
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Postdoctoral Research Associate in Atmospheric Remote Sensing Georgetown University: Main Campus: Graduate School of Arts & Sciences: Earth Commons Location Washington, DC Open Date Feb 08, 2024
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to work at the forefront of environmental remote sensing, leveraging unique datasets and advanced computational methods to address critical questions in land change science and fire ecology. The position is
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on remote sensing of air quality. Emphasis will be placed on using satellite observations to understand the impacts of wildfires and prescribed burning on air quality. The candidatemust have a Ph.D. in a
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Post-doctoral fellowship (PDF) description: This post-doctoral fellowship (PDF) will harness the large amount of data generated from this site using various remote sensing systems as well as ground
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data for urban characterization. The work includes developing algorithms, performing large-scale analyses, and collaborating with partners across disciplines in remote sensing, urban studies, and climate
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or abroad, in Soil Science, Remote Sensing, Environmental Sciences, or Pedometrics; - Proven experience in pedometrics, soil remote sensing, predictive soil modeling, soil organic carbon, and data science