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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 5 hours ago
Experience Preferred qualifications include research and teaching experience in mathematics; a strong research interest in partial differential equations, mathematical physics, or related areas; evidence of
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Research Council (ERC) grants. In mathematics, the most popular research areas include probability theory, analysis and partial differential equations, algebraic geometry, topology, and biomathematics. In
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science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have almost 50 persons
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develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infinite-dimensional optimization, and statistical machine learning. The goal is to
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on the analysis and simulation of nonlinear partial differential equations arising in the context of interacting species study of interaction systems with applications to developmental biology, such as pattern
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to modern developments in biomathematics and will also have a solid knowledge of mathematical analysis, partial differential equations as well as kinetic theory and will be able to take part in research
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Deep Learning algorithms for the numerical solution of Partial or Stochastic Differential Equations (PDES or SDEs) that arise in finance and economics. Specifically, highly complex problems involving
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framework for quantum mechanics. The researcher is expected to make contributions in the fields of functional analysis, complex analysis, spectral theory, and partial-differential equations, but also
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on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations
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, Stochastic Differential Equations and Stochastic Processes, Partial Differential Equations and Industrial Mathematics, Topology and Dynamical Systems, Statistics and Applied Statistics, Numerical Analysis