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questions, please contact us at K12@orau.org . Application Deadline 5/1/2026 11:59:59 PM Eastern Time Zone Description The ORISE Introduction to Artificial Intelligence (AI) Mini-Academy is a three-day
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of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale
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are therefore extremely resource intensive. The aim of this project is to use advanced Artificial Intelligence (AI) techniques, trained on outputs from already developed MHD simulations, to emulate
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of interest include: • Machine learning for classification of astrophysical signals • Artificial intelligence augmentation of spaceborne observatories to reduce data transmission rates • Migration of science
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agricultural yield prediction models for use in plant breeding through a combination of high-throughput phenotyping data, physiological crop growth modeling, and artificial intelligence methods. There will be
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virulence monitoring of domestic and international isolates. The research project entails using artificial intelligence-based structural modelling to predict plant-pathogen protein-protein interactions
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expand expertise in applied imaging, artificial intelligence, robotics, and agricultural safety technologies aligned with the USDA ARS mission. Learning Objectives: By the end of this experience
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operations, senior scientists within the IC annually pinpoint vital research topics spanning diverse disciplines, from artificial intelligence, quantum computing and sensing, biotechnology, and energy and
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research applying artificial intelligence (AI) and machine learning (ML) techniques to analyze cervid movement patterns. GPS telemetry data obtained from free ranging cervids will be used by the participant
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background in computational biology, modeling or Machine Learning and Artificial Intelligence Familiarity with basic techniques and principles in cell and molecular biology and biochemistry Willing to learn