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, in collaboration with faculty and research staff at NCEMS, will conduct original research applying machine learning, artificial intelligence, computer science, statistical learning, or related
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of funds. Qualifications The successful candidate will have a PhD in cell and molecular biology or comparable field and experience in the related research field. The candidate will demonstrate evidence of
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appropriate statistical methods, contribute to scientific publications, project reports, presentations and other communication of research results, participate in project meetings and collaborate with academic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 26 days ago
Tenured-Tenure Track / 8 Joint Tenure-Track Faculty, 16 Fixed Term / 4 Joint Fixed Term Faculty, 120 Adjuncts, 31 EHRA Non-Faculty, 18 Postdocs, 20SHRA, 29 Temps, and 234 Students (148 PhD, 74 MPH, AND 12
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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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materials. Use molecular dynamics, lattice-dynamical methods and statistical sampling to investigate local disorder, phase stability, temperature-dependent behaviour and structure-property relations
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to teaching activities may be discussed, including the possibility of supervising Master’s students. Profile Applicants should have: • a PhD in physics or related fields, completed or expected to be completed
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populations we serve, specifically those in Utah, Nevada, Montana, Wyoming, and Idaho. Minimum Qualifications Preferences • PhD in Epidemiology, Nutrition, Public Health, Biostatistics, or related field
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qualifications: Must-haves: A completed PhD (or a PhD close to completion) in health economics, development economics, economics, econometrics, or a closely related discipline. Strong analytical and quantitative
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statistical / machine learning methods, pathway/network analysis or artificial intelligence approaches. Other requirements: The candidate should have a PhD or equivalent degree in bioinformatics, artificial