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large, multi-institution, project to advance the remote sensing of freshwater resources. The research will be conducted at the Environmental Remote Sensing Laboratory, under the direction of Dr. Hongxing
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working at University of California Riverside More Jobs from This Employer https://main.hercjobs.org/jobs/21923204/postdoctoral-scholar-in-remote-sensing-of-biotic-stress Return to Search Results
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d) Your tasks: Support in processing satellite and UAV remote sensing data on cloud platforms Adaptation and optimization
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of aerosol characterisation using the synergy between remote sensing and in-situ methodologies. The successful candidate will mainly focus on mineral dust and on the Eastern Mediterranean and Middle East (EMME
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Safe and efficient ice navigation supported by satellite data Join us at the Division of Geoscience and Remote Sensing and help advance knowledge about sea ice dynamics and develop the capability
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, you'll help develop innovative remote sensing capabilities and be part of a dynamic, international team shaping the future of Earth Observation! About us The Department of Space, Earth and Environment
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
consider one or multiple subtopics that our group is particular interested in and invests on: (1) ice microphysics remote sensing from infrared to microwave spectra (TIR, FIR, sub-mm, MW); (2) cloud
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. We are seeking a talented and ambitious Postdoctoral Researcher in Remote Sensing of Peatlands
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combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées