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Field
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, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold
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successful candidate will conduct research focused on meso- and macroscale mathematical modeling of next-generation batteries, while leveraging advanced artificial intelligence (AI) tools to accelerate
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on cutting-edge research projects involving design, analysis and implementation of advanced numerical methods and algorithms in interdisciplinary applications. The position includes the possibility
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research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1
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a variety of projects involving internal and external dosimetry and radiation risk analysis The CRPK provides technical assistance to U.S. federal agencies involved in development of federal guidance
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technology. Research may include analytical and numerical spectral methods, momentum- and real-space analysis, and connections between spectral structure, topology, and quantum degrees of freedom. Research
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Ethics in health sciences Agricultural sciences Chemistry Neurosciences Environmental science Physics Astronomy Geosciences Mathematics Researcher Profile Recognised Researcher (R2) Application Deadline 1
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control structures and advanced control methods and are comfortable working with mathematical models of complex technical processes. Experience with modelling of thermo-chemical or process systems
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development, data analysis, manuscript writing, research presentation at conferences, and assistance with grant applications. Initial funding is for two years with a potential second, two-year appointment based
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
. Qualifications Required: • Ph.D. (obtained or expected) in a quantitative or biomedical discipline. Examples of quantitative disciplines: Computer Science, Physics, Applied Mathematics, Statistics, Computational