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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading public
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, optimization and the modeling of critical infrastructure (gas pipelines and electrical grids). These application areas are tied together by research in novel algorithms, numerical methods and machine learning
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tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its programs in the liberal arts, medicine, business and law
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with the PI and research team to interpret findings and optimize methodologies. Attend and present at scientific conferences. Knowledge – Skills – Abilities Programming experience is required. Prior
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deployment, monitoring, and optimization of complex scientific data streaming workflows for current and future production infrastructures. The project will involve close collaboration with a team of systems
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, Oklahoma State University, Virginia Tech, and private farms in Lexington, KY. Required Education and Experience: • PhD in kinesiology, animal science, or related field. Preferred Education and Experience
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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experiment, as well as in the commissioning, optimization, and development of analyses for the ALPHA experiment. The candidate is also expected to take a leadership role in JHU-based testing toward
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
training for study personnel in Malawi. Primary responsibilities include assay development and experimental execution including assay optimization, sample processing (collected from ongoing cohort study in
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of deterministic and stochastic dynamical systems, optimal control, network models, and machine learning. Preference will be given to candidates with experience in these areas. The researcher will work closely with