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with special needs patients and families, strong sense of research ethics, team skills, good English language skills, and good organization are expected. Additional expertise in statistical software
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networks), and the integration of these ground-based observations with state-of-the-art remote sensing information describing forest structure and function. The position will require computationally
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Phenomic prediction programs that incorporates genotype (genotype by sequence) and phenotype data (from traditional and high throughput, remote sensing sources) -Use or develop R programming code to complete
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, NEON airborne remote sensing, comprehensive water balance measurements, soil respiration data, and tower-based remote sensing including multiple thermal imagers and solar-induced fluorescence (SIF
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advanced mass spectrometers. Other potential projects include leveraging satellite remote sensing data and ground sampling to quantify black carbon spatial patterns, and quantification of emissions from
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 22 hours ago
in physical sciences or engineering-physics, experience with retrieving vertical profiles of constituents in the stratosphere with passive remote sensing techniques and excellent written and verbal
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internal equity. Pay Range: 77,000-80,000 A postdoctoral scholar is sought for a position in SEA-Scan: Structural and Environmental Algorithms for Sensing of Offshore Systems working with Dr. Barbara
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of state-of-the-art visualization and computing facilities in Matthew Oliver’s Ocean Exploration, Remote Sensing and Biogeography Lab and Robotic Discovery Lab. Candidates must have a Ph.D. in acoustics, or
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on remote sensing of air quality. Emphasis will be placed on using satellite observations to understand the impacts of wildfires and prescribed burning on air quality. The candidatemust have a Ph.D. in a
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research to incorporate disturbance through time and remote sensing into a scaling framework of forest structure and functional diversity using in-situ and remotely sensed data, as well as assisting with