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mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex
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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 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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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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Research Project (IRP) Problem Definition: Linking trajectory optimisation with disciplinary-specific numerical tools can result in numerical system that cannot be defined by ordinary differential equations
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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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interacting primarily through the strong force, such as its equation of state, phase diagram, and transport properties (viscosity, electrical conductivity, etc.) is an active research area today. Collisions
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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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Nanjing University of Information Science and Technology, School of Mathematics and Statistics application ID: 2044-PHD2 [#25322] application Title: PhD Position in Differential equations
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limited to, college algebra, finite and discrete mathematics, precalculus, applied calculus, calculus, differential equations, and linear algebra. Required Education and Experience Requires a master’s