8 remote sensing positions

  • 2 days ago

    remote sensing. This position will analyze spatio-temporal dynamics of multiple species and biophysical variables across US NEON sites. The associate will advance generative joint-attribute Bayesian

  • UNC-Chapel Hill | North Wilkesboro, North Carolina | 2 days ago

    remote sensing of water quality to conduct key work in developing science and technical capabilities for new NASA satellite and airborne missions focused on trackeing the transport of water, sediment, and

  • University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | 11 days ago

    /2017 Open Until Filled No Work Location Chapel Hill, NC Position Summary We seek a postdoctoral researcher with expertise in remote sensing of water quality to conduct key work in developing science and

  • University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | about 20 hours ago

    /2017 Open Until Filled No Work Location Chapel Hill, NC Position Summary We seek a postdoctoral researcher with expertise in remote sensing of water quality to conduct key work in developing science and

  • Los Alamos National Laboratory | Los Alamos, New Mexico | 2 days ago

    Job Title Optical Sensing Postdoc Location Los Alamos, NM, US Organization Name ISR-2/Space And Remote Sensing What You Will Do The Space and Remote Sensing Group (ISR-2) at Los Alamos National

  • University of Oxford | Oxford, England | 6 days ago

    related field and ideally a strong background in in atmospheric modelling. Depending on the post, additional experience in atmospheric dynamics, small scale processes or the use of remote sensing and in

  • Columbia University | New York City, New York | 1 day ago

    , Earth and Atmospheric Sciences, Engineering, Glaciology, Geophysics or related disciplines. Preferred Qualifications: We encourage applications from those with a background in remote sensing, surface mass

  • Los Alamos National Laboratory | Los Alamos, New Mexico | 2 months ago

    through permafrost landscapes, 2) the collection and co-analysis of high resolution UAS, airborne and satellite based Lidar and multi/hyper-spectral, and other remotely sensed and in-situ data to detect

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