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Mendenhall Postdoctoral Research Fellowship - Research Opportunity #: S69. Remote sensing of agricultural practices to support conservation implementation. The postdoctoral researcher will join a
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regimes across the United States. The postdoc will lead the integration of remote sensing and modeling methods to define and characterize altered fire regimes and Regional Extreme Wildfire Events (REWEs
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
sensing of vegetation, and the other will focus on ecosystem modeling. The remote sensing post-doc will be working on characterize forest canopy structure, including canopy height, tree crown size, leaf
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
fellows to work on a project funded by the US Department of Agriculture under the supervision of Prof. Conghe Song. One post-doc will focuse on remote sensing of vegetation, and the other will focus
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Details Posted: 14-Jun-24 Location: Lawrence, Kansas Type: Full-time Salary: Open Categories: Staff/Administrative Internal Number: 4953574 The Center for Remote Sensing of Ice Sheets (CReSIS
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) program.QualificationsCandidates should have recently completed or be nearing completion of a PhD in environmental data science, soil science, earth system science, ecology, remote sensing, computer science, or closely related
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global change ecology using remote sensing, in situ observation, and modeling. Research in the Meng Lab focuses on the study of various aspects and processes related to ecosystem processes
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 14 hours ago
play a pivotal role in advancing our research project focused on leveraging multispectral remote sensing for soil health mapping and soil nutrient management. The Postdoctoral Fellow position in soil
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approaches to analysing LiDAR and vision data in forest imaging and remote sensing. The role is part of a three-year project with SCION in New Zealand bringing together researchers in robotic perception
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satellite remote sensing datasets, including novel NASA MiDAR and fluid lensing datasets. Applicant will have a strong background in convolutional neural networks (CNNs), data labeling and training, and is