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catchment hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical
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-impact journals and present research at international conferences. Your Profile Requirements: Education: PhD in Remote Sensing, Environmental Engineering, Geoinformatics, Telecommunications, or a related
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the European Research Council (ERC). The CALIX project seeks to develop, test and implement a new stochastic calving law using a range of remote sensing, statistical and modelling techniques, and to apply
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: This position will be a one (1) year full-time term limited appointment with the possibility of renewal. Integrate survey and administrative datasets with environmental data (e.g., remotely sensed
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on remote sensing of air quality. Emphasis will be placed on using satellite observations to understand the impacts of wildfires and prescribed burning on air quality. The candidatemust have a Ph.D. in a
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Liu at UA Department of Geography and the Environment. The postdoctoral scholar will lead sediment remote sensing algorithm and foundation model development and implementation, remote sensing and field
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analysis of in situ measurement data and spatial remote sensing data - Participation in the scientific supervision of students - Participation in national and international mobility programs The project is
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that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a
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candidates from all backgrounds to join our community. We are seeking a talented and ambitious Postdoctoral Researcher in Remote Sensing of Peatlands to join the newly established Center of Excellence in
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
colleagues in Belize. The goals of this work include: * Classification of water quality conditions in inland aquatic and marine environment using remote sensing and in situ method * Further advance