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Organization National Aeronautics and Space Administration (NASA) Reference Code 0277-NPP-JUL25-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA...
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to be at the focus of NASA missions using active and passive microwave remote sensing. The MSFC Earth Science Branch has multiple, ongoing research activities that align with those NASA missions
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well as commercial and governmental in situ resources utilization. Recent breakthrough developments in solid state laser technology and single photon photodetectors have made it possible to remotely sense multiple
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Organization National Aeronautics and Space Administration (NASA) Reference Code 0309-NPP-JUL25-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA...
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Organization National Aeronautics and Space Administration (NASA) Reference Code 0089-NPP-JUL25-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA...
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. Description: Sassan Saatchi at the Radar Science and Engineering Section of JPL invites applications for a postdoctoral research position in the area of remote sensing of tropical forest carbon cycle, including
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of fellowship appointment. Questions about this opportunity? Please email npp@orau.org Qualifications Strong background in remote sensing, satellite data analysis, and/or machine learning methods. Familiarity
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at the intersection of wildfire science, remote sensing, and decision-making. Field of Science: Earth Science Advisors: Olga Kalashnikova Olga.Kalashnikova@jpl.nasa.gov (818) 393-0469 Hugo Lee huikyo.lee@jpl.nasa.gov
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are not not limited to: (1) wetlands coupling of vegetation, soils, and peatlands (2) dynamics of lakes and rivers (3) flooding with climate change scenarios (4) model evaluation with remote sensing
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conventional and remotely sensed weather data were simulated and assimilated into weather prediction models to assess their impact on forecast skill. Since then, the concept of OSSEs has evolved to include