121 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions
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of traumatic extremity injuries and amputations with a specific focus on translating their findings into clinical practice to improve the care of injured Service Members and Veterans. To learn more, visit: https
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Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2026-ARPA-E How to Apply Click on Apply below to start your application. Application Deadline 2/9/2026 8:00:00 AM Eastern
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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online databases or interactive websites. Learning Objectives: TUnder the guidance of a mentor, the participant will learn techniques in genomic epidemiology and machine learning to quantify drivers of IAV
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Pest Management in The Western U.S.' (https://ai4sa.ucr.edu/ ). The overall goal of this project is to develop advanced tools for early stress (abiotic and biotic) detection and decision support for crop
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large sample libraries; performing in-depth analysis of proteins, peptides, and small molecules in beef and pork products that vary in consumer quality; and applying machine learning techniques to predict
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
). Revisiting Ionosphere-Thermosphere Responses to Solar Wind Driving in Superstorms of November 2003 and 2004. J. Geophys. Res., 122. https://doi.org/10.1002/2017JA024542 . 2. McGranaghan, R. M., A. J. Mannucci
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approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational
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Organization U.S. Department of Energy (DOE) Reference Code DOE-CMEI-RPP-2025-Fall-MEF-Grad How to Apply To apply, click Apply at the bottom of this page. Connect with ORISE on the GO! Download the
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science tools, such as machine learning methods, causal inference, particularly in economic and social science applications. Prior experience working with Large Language Models is a plus. Experience working