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Field
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. The successful candidate will play a key role in designing and implementing research at the intersection of sensor data collection, machine learning, remote sensing, and real-time agricultural decision-making
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systems. Spectroscopy, hyperspectral imaging, remote sensing, IoT, and process measurements are important data sources within this broader framework rather than requirements defining a single experimental
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position for a postdoctoral research associate. The successful candidate will join the thriving activities of the center and contribute to the science developed in a new multi-university consortium, under
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
research opportunity invites a participant to investigate that coupling in both directions in support of NASA's microwave remote sensing missions. In the forward direction, physically based inversion of soil
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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Proficiency with environmental remote sensing and interpretation Familiarity with HYDRUS computer models Self-sufficiency with statistical concepts and programs Self-motivated, well-organized, team player, and
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The Laboratory of Geo-information Science and Remote Sensing at Wageningen University seeks talented and enthusiastic candidates for a postdoctoral appointment in Remote Sensing of the land surface
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: Postdoctoral Fellow in Geospatial Information Science Collect, process, and analyze breeding-related environmental data, including meteorological data, soil data, and remote sensing imagery. Investigate
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 21 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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North Carolina coastal and estuarine environments. Experience with coastal engineering theories and analyses. Experience in ecological and drone-based remote-sensing monitoring assessments of living