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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based
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to estuary using satellite remote sensing and data analysis. The specific research focus is flexible, offering the opportunity to develop and pursue new ideas within the broader scope of the project. Minimum
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
to estuary using satellite remote sensing and data analysis. The specific research focus is flexible, offering the opportunity to develop and pursue new ideas within the broader scope of the project. Minimum
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, helping develop a remote sensing imaging technology that can see beneath the waves. PI Chirayath was recently selected as a 2024 Moore Inventor Fellow and is looking to recruit a post-doc to develop
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data. Experience working with remote sensing data. Two years of experience using advanced statistics. Excellence in the field as demonstrated by relevant publications, or a fellowship in quantitative
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could include topics related to ice and volatiles, planetary thermophysics, surface and subsurface characterization, radar remote sensing, and/or the integration of spacecraft data with modeling. You can
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sensors for new physics, in collaboration with other QuSeC-TAQS researches. In the Q-SEnSE institute, an NSF Quantum Leap Challenge Institute, prominent quantum researchers in experiment and theory, science
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digital forestry, genetics, ecology, remote sensing, data science, entomology, wildlife and economics. The postdoc will have opportunities to interact and collaborate with other postdocs and graduate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours 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