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requirements: The candidate must have obtained their PhD within the last 7 (seven) years, counted from the start date of the fellowship, and have experience in remote sensing applied to agriculture and/or
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | about 5 hours ago
to advance use of foundation models for Earth Science research and applications, including fine-tuning experiments Use of remote sensing, models, and/or machine learning to further our understanding
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use their skill for the benefit of society in the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral
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the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral thesis on RTM inversion or deep learning in remote
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
Mathematics » Statistics Geosciences » Other Technology » Remote sensing Engineering » Agricultural engineering Computer science » Programming Computer science » Informatics Computer science » 3 D modelling
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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the
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Systems Modeler & Remote Sensing Specialist) Job Class Code HA02 A/B/C, HA03 A/B/C Appointment Status Full-time Part-time FTE Limited Term Yes Limited Term Length 1 year; continuation contingent upon
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
. Description: New techniques and instrumentation are developed and applied for remote atmospheric measurements. Current research includes cloud and aerosol studies using space-based lidars such as the Cloud
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in
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develop innovative approaches for crop yield prediction, disease detection, and protein estimation, integrating remote sensing and modelling to translate research into practical tools for sustainable and