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CAREER: Transforming Modern Understanding of Atmospheric Chemistry and the Biosphere through Physics-Informed Machine Learning

Organization University of Southern CaliforniaLocation LOS ANGELES, United StatesPosted 1 Aug 2025Deadline 31 Jul 2030
NSFUS FederalResearch GrantScience FoundationCA
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This CAREER project will apply machine learning tools to develop new computational methods to improve predictability in atmospheric chemistry. The project is focused on gaining a better understanding of the controlling factors behind the chemical composition of the atmosphere, especially those related to the plant biosphere. This effort is…

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CAREER: Transforming Modern Understanding of Atmospheric Chemistry and the Biosphere through Physics-Informed Machine Le | Dev Procure