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are not limited to, Developing new computational methods and analytical tools, with particular emphasis on machine learning and artificial intelligence approaches. Identifying signatures of viral adaptation
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This research involves conducting fundamental and applied research in the field of Robotics and Autonomous Systems (RAS) and Artificial Intelligence/Machine Learning (AI/ML). The fellowship position is based
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The qualified candidate will have a bachelor's degree in entomology, microbiology, artificial intelligence, scientific computing, or other eligible discipline. Degree must have been received within 24 months
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biology Experience in machine learning and artificial intelligence Experience with genetics and genomic data Experience with large, diverse datasets and data mining approaches Proficiency in Linux and
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artificial intelligence Experience with genetics and genomic data Experience with large, diverse datasets and data mining approaches Proficiency in Linux and computational programming Strong computational and
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improving plant health using machine learning and artificial intelligence. Mentor(s): The mentor for this opportunity is Yulin Jia (yulin.jia@usda.gov ). If you have questions about the nature of the research
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to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including artificial intelligence (AI) and machine learning, to help
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, and R/R Studio). Experience with developing basic data collection tools, data dictionaries and minimum data elements preferred. Experience with data collection tool development and Artificial
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advanced methods to generate insight and reduce burden (Analytics and Artificial Intelligence). Creating trusted, ready-to-use data (Data Management). Equipping staff to work independently with data (Data
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Analyzing results and simulating environments of interest Quantum Information and Sensing Nuclear Science and Weapon Effects Artificial Intelligence, Machine Learning, and Cyber Security Materials, Extreme