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experiments, digital technologies, including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. Danish peatlands disappear due to human activities such as
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. The research includes development of growth models, crop production management with remote sensing tools and spectral techniques, and agronomic studies. Ongoing projects involve the use of optical and radar
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
high-impact scientific journals. Your profile The position is offered to a highly motivated candidate with a PhD degree in Soil Science, Environmental Science, Biogeochemistry, Wetland Science, Remote
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, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential. Our Purpose and Values We want our University to be a place where people can
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, we consistently rank among the top engineering programs by US News and World Report. CEE is seeking a postdoctoral scholar specializing in large-scale glacier modeling, remote sensing, and statistics
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. Reference letters will only be requested for shortlisted candidates. For an informal discussion about the post, please feel free to contact Dr Greg Ashton by emailing gregory.ashton@rhul.ac.uk. For queries
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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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). Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, 29, 100913. Roux, P
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
of fellowship appointment. Questions about this opportunity? Please email npp@orau.org Qualifications Strong background in remote sensing, satellite data analysis, and/or machine learning methods. Familiarity
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field (e.g. Environmental Engineering, Ecology, etc). We are particularly interested in applicants who have experience with satellite remote sensing (optical and/or radar) and background in surface water