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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
using remote sensing technologies (including UAVs) in the field, etc. - Remote sensing applications, including image analysis and Geographic Information Systems (GIS) - Computer science and informatics
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling, visualization). Record of peer
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software
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integration of multi-source datasets; Familiarity with GIS, spatial data management, and basic remote sensing workflows; Experience in writing scientific papers and working within multidisciplinary research
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. Applicants with experience in forest or wildlife habitat classification using remotely sensed data will receive special consideration. Duties (%) 10% With oversight from the project Principle Investigator
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catchment hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical
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working at University of California Riverside More Jobs from This Employer https://main.hercjobs.org/jobs/21923204/postdoctoral-scholar-in-remote-sensing-of-biotic-stress Return to Search Results
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communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning applications
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potentially using a mix of remote sensing, vegetation/habitat data, field data, and camera trap data to model connectivity for large mammal species and/or migratory birds. Expected project outputs will include