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(ORNL) is seeking a highly motivated Postdoctoral Researcher with expertise in artificial intelligence and machine learning (AI/ML), remote sensing, Earth and environmental sciences, and the analysis
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
research opportunity invites a participant to investigate that coupling in both directions in support of NASA's microwave remote sensing missions. In the forward direction, physically based inversion of soil
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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and analyses based on various input data sets from eDNA, remote sensing and biodiversity observations? Department of Biology advertises a postdoc position focused on data integration and visualisation
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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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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» Remote sensing Agricultural sciences » Forest sciences Researcher Profile Recognised Researcher (R2) Positions Other Positions Application Deadline 6 Oct 2026 - 23:59 (Europe/Brussels) Country Austria Type
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available at CC, with a primary focus on Artificial Intelligence within the field of Agriculture/ Remote sensing (not limited). The successful candidate will join a dynamic, multidisciplinary team and have
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autonomous workflows. with a primary focus on Artificial Intelligence within the field of Agriculture/ Remote sensing (not limited). The successful candidate will join a dynamic, multidisciplinary team and