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Field
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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 meaningful
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months 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
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networks), and the integration of these ground-based observations with state-of-the-art remote sensing information describing forest structure and function. The position will require computationally
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the core research activities of the project. Responsibilities include assembling and harmonizing large datasets from experimental trials, remote sensing, soil health databases, and farmland markets
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the Gulf of Alaska. As a Postdoctoral Researcher, you will work with team leads across the University of Alaska system to apply remote sensing techniques to model water turbidity and temperature in coastal
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of solution platforms for integrating spatial and temporal information, harnessing remote sensing data, using climate information, understanding fuel accumulation and running physics-based or data-driven
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interdisciplinary collaboration with researchers, institutions, and stakeholders Candidate Profile Required Qualifications PhD in Remote Sensing, Geospatial Sciences, Environmental Science, Climate Science, Data
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of Copenhagen, as well as international partners. Field experiments, digital technologies -- including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. You
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remote sensing. Contribute to ongoing projects with respect to participation in already planned field work and data analysis (e.g., CASA, KUMO, BUMUS) and lead new initiatives. Lead the setup, deployment