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Remote Sensing/Spatial Ecology Intern The Conservation GIS Lab (https://nationalzoo.si.edu/conservation-ecology-center ) at the Smithsonian Conservation Biology Institute (SCBI) is seeking an intern
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evolution on integrated sensing and communication technologies will be leveraged in this PhD research to achieve reliable remote health monitoring of vital signs. To reduce the impact of variability
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The School of Natural Resources at the University of Nebraska-Lincoln (UNL) Institute of Agriculture and Natural Resources (IANR) is seeking applications for a Geospatial and Remote Sensing Data
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Full time, 3 year’s fixed term position. Located at the Biomedical Building on the Eveleigh Campus Opportunity to contribute and develop your expertise in remote sensing working on industry-focused
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Department of Forest Resource Management The Department of Forest Resource Management conducts teaching and research in the areas of Forest Remote Sensing, Mathematical Statistics Applied to Forest
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 days ago
/2024 6:00:59 PM Eastern Time Zone Description Description: Remotely sensed estimates of aboveground biomass (AGB) are important inputs to ecological and climate modeling. They have evolved over the last
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Role: Lecturer in Environmental Remote Sensing (0.6FTE) Department: School of Geography & Environmental Sciences Grade: Academic Grade 7/8 pro rata to (£39,369-£56,054) Responsible to: Head of
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Apply now Job No:24126 Department: Michigan Tech Rsrch Institute(MTRI) Work Type:Staff - Full Time Location:Michigan Tech Research Institute (Ann Arbor, MI) Full Time / Part Time: Full Time Categories:Engineering Department: Michigan Technological Research Institute (MTRI) To perform this job...
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with expertise in remote sensing. The successful candidate will be expected to teach courses in introductory remote sensing (2-3 courses per year), advanced remote sensing, LiDAR theory and applications
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signals is one of the most effective short-term strategies to improving our understanding of landslide hazard and mitigating the associated risk. Recent advances in remote sensing, both from greater data