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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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the master's degree has been awarded. Experience with functional analysis or analysis of partial differential equations is a requirement. Experience with preconditioning or non-standard non-linear solvers is an
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of Imaging/Image Reconstruction. The latter is broadly defined, with applications of tools from areas such as Inverse Problems, Partial Differential Equations (PDEs), Functional Analysis, or Harmonic Analysis
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of partial differential equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in
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, number theory, representation theory, invariant theory, dynamical systems, free probability, partial differential equations, and mathematical physics. In statistics, these include biostatistics, optimal
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retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary As the Department
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for partial differential equations (PDEs) structure-preserving and data-driven reduced order modeling scientific machine learning In addition to research, the postdoctoral researcher will engage in mentoring
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will work with nonlinear partial differential equations, constitutive modelling, and numerical methods to simulate large-scale mass-movement events, with the aim of improving our understanding of flow
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/stochastic partial differential equations; mathematical physics. Outstanding candidates of all ranks will be considered. 1. Chair Professors: Candidates are leading mathematicians with an international
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differential equations, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology