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. Research opportunities will focus on the use of novel modeling tools for hydrology and water resources systems, with an emphasis on machine learning and remote sensing, with a focus on developing detailed
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Insurance Programs Yes Annual Leave Yes Sick Leave Yes Position Description Advertised Job Summary Postdoctoral scholar needed to conduct research in ultra high resolution remote sensing of sea surface
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remote sensing and/or with drones. Interest and/or a research background in dryland ecosystem ecology. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work Calendar
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
this opportunity? Please email npp@orau.org Qualifications Background in radar science, radar remote sensing, or radar system design Experience with planetary science data analysis, especially radar
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strong sense of responsibility to complete research in a timely manner is required. The position will be for one year in the first instance but with a strong likelihood of continuing for several years
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(IBES), Brown University seeks a Postdoctoral Researcher and/or Field Technician with experience in wildlife ecology, remote sensing/geospatial analysis, field campaigns, habitat suitability modeling
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coastal resilience. Pursue work on coastal resilience and remote sensing analyses. Other duties as assigned. Occasional Duties Assist with teaching efforts in coastal, fisheries, and other ecological
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experience with remote sensing data and its analysis, and geospatial skills Strong statistical background Excellent English writing and verbal communication skills Ability to travel periodically for reports
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-analysis of the relationship of hydraulic conductivity and vegetation cover. Data analysis and publication writing. Using remote sensing to evaluate cover conditions on rangelands. Other duties as required
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based