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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
. The research component will focus on using a combination of satellite remote sensing and sediment transport modeling to understand inland river deltas (e.g. those forming in lakes and non-coastal
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Remote sensing data provide essential information on the spatial and temporal variability in vegetation
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modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. We have a team of researchers working at field, farm and landscape scales. The researcher for farm
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growth rate or improve stem. Some stand conditions and tree characteristics can be measured remotely, as for example using remote sensing technologies. Ideally, such technologies will provide information
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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: Extensive experience operating a LabSpec 4 NIR spectrometer and Unscrambler software. Salary: Compensation will be commensurate based on the selected candidate’s education and experience. Hybrid/Remote Work
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on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits
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productivity across northern regions. The research will leverage unique, long-term datasets from Fennoscandian lakes— including climate data, water chemistry, biotic indicators, and satellite remote sensing
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writing and communication skills. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Required Minimum Education Level PhD Work Location Hybrid — Remote
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the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated