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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
Intelligence, Computational Biophysics and Chemistry, and Drug Discovery. The successful candidate will contribute to the development of novel theoretical and computational methods as well as advanced AI
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, including full access to various supercomputers and massive data storage systems (see here for further details https://uits.iu.edu/services/technology-for-research/high-performance-computing-and-storage
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for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges
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molecular biology, neuroscience, proteomics or genomics. This position will also provide outstanding opportunities to develop independent research projects at the intersection of translational neuroscience
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including magnet schools and an international baccalaureate program. Learn more about what Gainesville has to offer at Visit Gainesville Expected Salary: The salary is competitive and commensurate with
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customer service to both internal and external stakeholders by presenting a positive image of the department and University. · Independently and in collaboration, responsible for writing grants and
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reporting requirements on AI for Health research and projects. Required Qualifications Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering
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with theoretical modeling, asymptotic analysis, or numerical simulations. Department/Program & College Description: The Department of Mechanical Engineering at Iowa State University is where innovation
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, neurodegenerative conditions, and other diseases. We seek candidates with expertise in one or more of the following areas: mathematical modeling, differential equations, stochastic processes, scientific computing
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of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal