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/benefits-overview . Posting Summary Seeking a highly motivated Postdoctoral Associate to lead research working in quantitative ecology, using big datasets (e.g. GBIF, eBird, Movebank), remote sensing data
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Qualifications Five or more years of experience using programming and data-analysis tools such as Python and/or R. Experience with UAS imagery, satellite remote sensing, GIS, or other geospatial datasets
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in geophysical data analysis. AAUS scientific diver. Experience with some or all of the following: GIS, remote sensing, geomorphology, geophysics, geoarchaeology, oceanography, or paleoclimatology
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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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Sensing experts. We offer an exciting opportunity to combine your passion for education with cutting-edge research: you will divide your time equally between teaching Remote Sensing and GIS at bachelor and
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surface models from visual line transect surveys conducted by a large number of collaborating institutions along with gridded environmental covariates derived from satellite remote sensing, ocean models
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remote sensing of vegetation, e.g. spectral mixture analysis. Other merits We are particularly interested in candidates with: Experience with web-GIS development or geospatial data visualization
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 22 hours ago
the western United States. The project will provide hands-on experience in satellite remote sensing, geospatial analysis, wildfire science, and multi-sensor Earth observation, complementing the participant’s
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and soil assessment, hydrologic monitoring, remote sensing, GIS applications, and processed-based model calibration. The program is designed to develop you into an independent researcher capable
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sensing, poromechanical modeling, and elastic crustal load modeling. Preferred Qualifications Knowledge of Remote sensing of surface water quality, numerical modeling, GIS, leadership and advising skills