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/Scientist position in the area of ionospheric physics, remote sensing, and in-situ instrumentation. The primary function of this position is to support the ongoing ionospheric research in Space and
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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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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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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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NIST only participates in the February and August reviews. Fundamental questions in astrophysics and remote sensing rely on accurate radiometry. NIST is at the forefront of developing methods
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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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of Climate and Environmental Remote Sensing TU Wien is offering a position as senior scientist (all genders) for 40 hours/week. Expected start: April 2026. All details can be found in the online job exchange
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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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geographic information systems, cartography, and remote sensing. Students acquire theoretical and practical knowledge, methodologies, and techniques for solving geographical problems. It encompasses scientific
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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