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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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/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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Job Description The postdoctoral researcher will work at the Hydrologic Innovation and Remote Sensing and the Earth Observation Innovation Lab of the Geoscience Department, Virginia Tech
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Postdoctoral Research Associate position. The successful candidate will hold a Ph.D. in marine biology or a closely related field and will have experience in marine geospatial analytics, remote sensing, machine
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make a difference in the world! Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated scientist with expertise in crop modeling, remote sensing, and geospatial
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 19 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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until the position is filled. Lehigh University offers a vibrant and inclusive work environment that fosters professional growth, personal development, and a strong sense of community. With a commitment
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 19 days ago
investigators, including remote sensing reflectance, absorption, scattering, particle size distributions, and phytoplankton community composition. Develop remote sensing approaches to track particle sources and
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dynamics in anthropogenically altered drylands. The lab uses a variety of field ecological, remote sensing, and laboratory-based approaches to assess vegetation growth and functioning along environmental
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technologies, digital soil mapping/pedometrics, proximal/remote sensing, and geospatial modeling. The ideal candidate will work and collaborate closely within a research team at Texas A&M AgriLife and USDA-ARS