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related area, including meteorology, hydrometeorology, remote sensing, surface and atmospheric modeling, or related fields. Experience in machine learning techniques are highly desirable. Please see https
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collaborative, internationally recognized and externally funded research program focused on applications of remote sensing, geospatial analytics, and visualization technologies to marine resource management
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1st August 2026 Languages English English English PhD Research Fellow in Vision-Language Models in Remote Sensing Apply for this job See advertisement About the position A fixed-term 100% position
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 17 days ago
to advance use of foundation models for Earth Science research and applications, including fine-tuning experiments Use of remote sensing, models, and/or machine learning to further our understanding
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biological and biogeochemical constituent concentrations and rates from the derived optical properties. Specifically, the aims are to develop advanced algorithms to retrieve from PACE and GLIMR remote sensing
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NIST only participates in the February and August reviews. Fundamental questions in astrophysics and remote sensing rely on accurate radiometry. NIST is at the forefront of developing methods
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/Scientist position in the area of ionospheric physics, remote sensing, and in-situ instrumentation. The primary function of this position is to support the ongoing ionospheric research in Space and
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and curation of remote sensing data from UAV mapping missions across multiple forested sites. ML Researcher: develop biodiversity classification and LIDAR canopy analysis algorithms based on UAV remote
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, including the Facility for the Spectral Irradiance and Radiance responsivity Calibrations using Uniform Sources (SIRCUS), the Hyperspectral Image Projector (HIP) Laboratory, the Remote Sensing Laboratory, and
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Research Scientist leads innovative research initiatives in geospatial science, remote sensing, and GeoAI, applying advanced analytics, machine learning, and image processing techniques to address complex