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Field
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inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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related field • Strong quantitative background (e.g. ecological theory and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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. The Postdoctoral Associate will manage and execute the core research activities of the project. Responsibilities include assembling and harmonizing large datasets from experimental trials, remote sensing, soil
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or applying machine learning or automated detection methods. Experience working with passive acoustic monitoring data; familiarity with other sensor-based data (e.g., camera traps, remote sensing) is also
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atmospheric sciences • Knowledge of cloud or aerosol physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a
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postdoctoral position in thermal infrared remote sensing. The successful candidate will join a collaborative team of scientists within the Remote Sensing and Natural Resources Modeling (REMOTE) group at LIST in
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful