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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce
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Education and Experience Preferred experiences include research in cognitive neuroscience, human functional brain imaging, psychology, neurology, psychiatry, machine learning, data visualization, and data
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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance
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. Mathematical techniques include qualitative and numerical analysis of deterministic and stochastic dynamical systems, optimal control, network models, and machine learning. Preference will be given to candidates
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
, and public service. Position Summary Develop highly curated datasets of chemical bioactivity and build statistically validated and externally predictive machine learning models of these activities
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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want The postdoctoral research associate will be working on developing machine learning/artificial intelligence algorithms for various applications, including energy systems, health systems, and marine
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System, Computer and Communication Networks, Computer Theory, Machine Learning, Reinforcement Learning;Structural Engineering, Transportation Engineering, Water Resources Engineering & Science, Industrial
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. Experience with FACS analyses or the ability to effectively learn this technique will be needed. Certifications/Licenses Required Knowledge, Skills, and Abilities Effective oral and written communication
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fellowship), who wish to prepare for careers in academic medicine. Experience with FACS analyses or the ability to effectively learn this technique will be needed. Certifications/Licenses Required Knowledge