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inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is
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., Teodoro, P. E., ... & da Silva Junior, C. A. (2023). Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing
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advancing your own research and lecturing/supervision skills? If so, we invite you to read on! The Geo-information Science team within the Laboratory of Geo-information Science and Remote Sensing (GRS) is an
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
consider one or multiple subtopics that our group is particular interested in and invests on: (1) ice microphysics remote sensing from infrared to microwave spectra (TIR, FIR, sub-mm, MW); (2) cloud
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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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award. Wolfson School of Mechanical, Electrical and Manufacturing Engineering Full Time, Fixed Term until 31 January 2028 This role is not suitable for remote working and is office based only as it is
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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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atmospheric sciences • Knowledge of cloud or aerosol physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a
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Job Description Are you a skilled and field-ready researcher with a passion for marine monitoring using many different methods and techniques ranging from diver observations to integrating remote
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective