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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
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 1 month ago
information (in situ and remotely-sensed observations as well as climate and weather model output) to enhance decision support across a range of impact sectors and applications (in particular related
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Requisition Id 15359 Overview: We are seeking a highly motivated Postdoctoral Research Associate to contribute to cutting-edge research at the intersection of wetland science, remote sensing, and
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research on new models integrating terrestrial plant biodiversity, ecosystem productivity, hyperspectral remote sensing and airborne LiDAR to test prominent hypothesis of the effect of tree diversity
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
(such as conflicts, natural disasters, and economic disruptions), and migration. The postdoctoral researcher would lead and implement the creation of complex data collections that combine survey, remote
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the field and laboratory, and proficiency in DNA extraction, sequencing and related data analysis. The project includes aspects of entomology and LiDAR remote sensing, giving the Postdoctoral Researcher
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-based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must
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and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated ability to conduct independent research and publish high-quality
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value, the research will benefit many applications, such as biomedical therapy, remote sensing, antenna/filter theory, and inverse problems in physics and engineering. Good working knowledge in most
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of programming or scripting languages such as Python, Fortran, R or others. Experience in remote sensing data analysis and geographic information systems. Experience in machine learning motivated algorithms and