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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
@orau.org Qualifications Ph.D. in Atmospheric Science, Physics, Engineering or similar Expertise with instrument calibration, deployment and data processing Expertise with remote sensing of the atmosphere
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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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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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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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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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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
Institute, School of Geography and the Environment, University of Oxford. The post holder will have responsibility for developing research on the ecology, climate change and remote sensing of tropical forests
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-analysis of the relationship of hydraulic conductivity and vegetation cover. Data analysis and publication writing. Using remote sensing to evaluate cover conditions on rangelands. Other duties as required
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Postdoctoral Researcher Position in Climate Change Adaptation Strategies for African Agriculture Our laboratory, Center for Remote Sensing Applications (CRSA), is seeking a highly motivated
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evapotranspiration. This position blends modelling of crop evapotranspiration with in-situ and remote-sensing observations to support smarter water use for sustainable farming in the province of Zeeland in
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of agricultural water use. Specific focus areas include applying AI/ML to analyze remote sensing and sensor data for predicting crop water requirements, advancing irrigation scheduling, and supporting real-time