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(JARVIS) for data-driven materials design" https://www.nature.com/articles/s41524-020-00440-1 2. https://jarvis.nist.gov/ 3. https://www.nist.gov/people/kamal-choudhary Keywords Machine learning
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Applied Statistical Modeling, and an online M.S. in Data Science offered in collaboration with the Department of Computer Science. SDS is internationally recognized for excellence in statistical
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Transportation. This position will support applied coastal hazards research that leverages numerical storm and compound flood modeling (rainfall-driven and wind-driven) and geospatial decision-support systems to
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 21 hours ago
knowledge and skills to thrive in this data-driven world. The Division will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | 30 days ago
knowledge and skills to thrive in this data-driven world. The Division will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to
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. Ransell D'Souza at the Department of Chemistry and Materials Science, Aalto University, and the Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and
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and dissemination efforts. Perform other related duties as assigned. Qualifications: A Ph.D. degree (by early 2027) in computer science, data science, statistics, bioinformatics, electrical
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, Computer Science, Applied Mathematics, or a closely related field. 2–4 years of professional experience in software engineering, data science, or applied R&D, with exposure to machine learning and AI
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. Education & Experience Required Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a closely related field. 5+ years of professional
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position in Physics and Astronomy will work at the intersection of physics, astrophysics, biotechnology, materials science, computational and experimental modeling, and artificial intelligence (AI