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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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working with genomics data sets. Prior experience working on high performance computing clusters. Prior experience with statistical and mathematical modeling and/or AI. Type Benefited Staff Special
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in projects related to simulation/mathematical/decision analytical modeling and cost-effectiveness analysis for harm reduction and other interventions aimed at preventing drug overdoses (primary focus
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, computer science, mathematics, or statistics or related field. The BarabásiLab is seeking motivated individuals with an interest in exploring complexity and its applications to food, art, science, and medicine from
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Geosciences (21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2
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, Artificial Intelligence, or a related field Strong mathematical foundation Strong programming skills in languages such as Python, Julia, MATLAB, Rust, and/or C++ Proven track record of research excellence, as
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using latex. Ability to analyze data and write research papers. Job Duties Job Duty Perform mathematical derivations of equations. The purpose is to develop an efficient description of the time-dependent
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Computational Biology, Machine Learning and Deep Learning for Computational Biology, Computer Science, Applied Physics and Mathematics, or a related field. - Strong background in protein modeling, structural
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neuroscience, biophysics, or similar fields. Mathematics/Physics or related science disciplines will also be considered. Preferred Qualifications: Higher priority will be given to candidates with experience in
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publication record in predictive machine learning/analytics. Desirable Qualifications: Expertise in reinforcement learning and/or federated learning. Expertise in prescriptive analytics (mathematical