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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 11 days ago
marine planktonic ecosystems. For example, the 2019-2020 Australian wildfires triggered widespread phytoplankton blooms, evidenced in chlorophyll data obtained from satellite remote sensing and in situ
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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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remote sensing data. What you will do Changing fire dynamics will be studied using a Dynamic Global Vegetation Model (DGVM), allowing us to quantify different mechanistic processes. Using high-resolution
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 11 days ago
proposed science objectives may consist of in situ observations, such as those obtained by mass spectrometers or from atmospheric drag measurements, and/or remote sensing observations, such as those obtained
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 11 days ago
in physical sciences or engineering-physics, experience with retrieving vertical profiles of constituents in the stratosphere with passive remote sensing techniques and excellent written and verbal
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, is looking for a postdoctoral researcher. More concretely your work package contains: The ETRO.RDI research group at the Vrije Universiteit Brussel (VUB) is seeking a Senior Postdoctoral Researcher
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Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the
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, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil
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and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering & Geosciences. Conditions of employment
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI