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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 22 days ago
or computational modeling. Favorable candidates will possess academic research experience with remote sensing data, specifically LiDAR (e.g., GEDI), Synthetic Aperture Radar (SAR), and multispectral optical time
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Recherche Scientifique (CNRS). The fellow will work on the project's “Decarbonization” pillar, with a focus on the analysis of the spatio-temporal dynamics of peri-urban forests, using LiDAR remote sensing
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program. Analyze and interpret remote sensing datasets (satellite, UAV, and/or LiDAR-derived) relevant to fire, fuels, and landscape-scale research questions. Develop and/or adapt machine learning and deep
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expected to: • Teach one undergraduate and one graduate course annually in remote sensing, phenomics, data analytics, machine learning, or a related area aligned with plant breeding applications. • Mentor
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physics, atmospheric aerosols, air pollution, remote sensing, or related subjects. Demonstrated experience in the use of active and passive remote sensing techniques, including lidar techniques, ground
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circumstances, the doctoral degree can have been completed earlier. Additional requirements: PhD in physical geography, remote sensing, geoinformatics, forest ecology, environmental science, or a closely related
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atmospheric remote sensing, atmospheric physics, or a closely related field; • Experience in atmospheric remote sensing, lidar observations, aerosol physics, and radiative transfer; • Strong scientific
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 16 hours ago
the western United States. The project will provide hands-on experience in satellite remote sensing, geospatial analysis, wildfire science, and multi-sensor Earth observation, complementing the participant’s
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sólidos en SIG, teledetección y bases de datos espaciales (SQL/PostgreSQL/PostGIS). Strong knowledge of Geographic Information Systems (GIS), remote sensing, and spatial databases (SQL/PostgreSQL/PostGIS
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new international Master of Science (Technology) degree programme, particularly in the fields of remote sensing and geospatial computing, while also advancing research on digital waters. The position is