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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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transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable planet”. For section 1.4 Remote Sensing and Geoinformatics (department
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no sooner than 1st July 25. This is a laboratory-based role and as such it needs to be performed on site for roughly 80% of the time, but there will be opportunities to work remotely for roughly 20% of
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monitoring of greenhouse gas emissions/uptake in the field and from small aircraft, and possibly leaf scale experience/affinity with remote sensing of terrestrial and/or aquatic processes, experience with
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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specialists to advance the science in GSDs. This postdoc position requires a minimum two-year commitment and will consist of a hybrid work arrangement (approximately 60% in office, 40% remote). This position
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for flood risk estimation, and prototyping flood monitoring and forecasting procedures at very high spatial resolution. The candidate will collaborate closely with the Remote Sensing and Hydrology lab and the
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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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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
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Information: This is a hybrid position. The Postdoctoral Scholar - Research Associate will be expected to work onsite at least 2 days per week. This position is not eligible for fully remote work. The annual