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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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transport, leveraging in-situ and indirect measurements such as geophysical and/or remote sensing observations.Conducting fieldwork in Greenland, including UAV-based sampling campaigns and vibroseismic
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: Apply Position Description Occupational Summary: The Duke Quantum Center is seeking a Postdoctoral Researcher to develop a research program in integrated sensing and communication for 6G wireless in Dr
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on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits
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fertility management and remote sensing research experts who seek to develop precise fertilizer recommendations and regenerative cropping systems in arid-saline conditions of Morocco. We seek a highly
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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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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months ago
learning tools to do snow parameters retrievals. Current projects in our lab range from theoretical and experimental atmospheric science into radiative transfer, climate dynamics, remote sensing of the land
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of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling to evaluate the technical, environmental, and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 15 hours ago
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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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