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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
(2018); https://doi.org/10.1063/1.5033338 Shuyan Zhang, Alexander Soibel, Sam A. Keo, Daniel Wilson, Sir. B. Rafol, David Z. Ting, Alan She, Sarath D. Gunapala, and Federico Capasso, “Solid-immersion
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background in hydrology, earth system science, atmospheric science, agroecology or other appropriate fields. You will work on the project “Physics-informed AI-modelling of land surface processes in a global
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Researcher (R1) Established Researcher (R3) Application Deadline 30 Jan 2026 - 22:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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and its administrator, giving faculty and students direct access to this well-known archive of weather and climate data. Department Unit/Website: https://earth-atmosphere-climate.iastate.edu/ Proposed
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skills and administrative experience, experience in the natural resource industries, and an understanding of the University of Nevada’s land grant mission. Preference will be given to candidates with
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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the “EXCELSIOR” H2020 Teaming Project (https://excelsior2020.eu/ ), ERATOSTHENES CoE aspires to become a Digital Innovation Hub for Earth Observation and Geospatial Information by offering knowledge, responsible
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
). The Evolution of the Hunga hydration in a moistening stratosphere. Geophysical Research Letters, 51, e2024GL110841. https://doi.org/10.1029/2024GL110841 Field of Science: Earth Science Advisors: Luis Millan Valle
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/Administrative Internal Number: 495499 Department: Earth & Atmospheric Sciences Salary: Commensurate with Experience/Education Description: Provides expertise in support of research projects in engineering
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reach extreme parameter regimes and observables not accessible in solid-state samples. However, extending these studies to the many-body regime is a highly challenging task, accessible only to very few