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California. This research integrates multi-platform remote sensing with in-situ datasets to establish baselines, evaluate trends, and analyze anomalies in water quality responses to environmental perturbations
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to work at the forefront of environmental remote sensing, leveraging unique datasets and advanced computational methods to address critical questions in land change science and fire ecology. The position is
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Postdoctoral Research Associate in Atmospheric Remote Sensing Georgetown University: Main Campus: Graduate School of Arts & Sciences: Earth Commons Location Washington, DC Open Date Feb 08, 2024
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
. Conghe Song. One post-doc will focuse on remote sensing of vegetation, and the other will focus on ecosystem modeling. The remote sensing post-doc will be working on characterize forest canopy structure
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USA Position Highlights We seek an early career scientist with background in ecohydrology, numerical modeling and/or remote sensing to fill a position as Postdoctoral Research Associate
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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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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
or willing to learn geospatial analysis. Self-motivated Willing to pursue research objectives stated in the projects’ descriptions. Quantitively minded A background in Oceanography, Remote Sensing, Meteorology
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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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of agricultural water use. Specific focus areas include applying AI/ML to analyze remote sensing and sensor data for predicting crop water requirements, advancing irrigation scheduling, and supporting real-time
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired