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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
or be pursuing a doctoral degree in Geography, Earth Science, Remote Sensing, Computer Science, Forestry, Ecology, or a related discipline, with a strong foundation in geospatial analysis
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to identify the conditions under which peatlands recover, change state or approach ecological tipping points. The project brings together palaeoecology, environmental archaeology, analytical chemistry, remote
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
Science, remote sensing, oceanography, or equivalent Experience with Mitgcm, satellite data processing, and in-situ data analysis preferred. Understanding of the processes happening at the ice-ocean
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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
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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
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 15 days ago
pure rotational spectra, the chemistry, and the physical properties of sublimated species from interstellar/cometary/planetary ices. Remote sensing with high resolution spectroscopy is currently the only
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performance of cropping systems in the U.S. Midwest. The successful candidate will analyze existing experimental and on-farm datasets on corn and soybean production systems, integrate drone and remote-sensing
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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
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
Qualifications The ideal candidate will have experience with the atmospheric chemistry of fire plumes and the use of remotely sensed data on atmospheric trace gas amounts, alone or in combination with in situ data
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI