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Mathematics, Physics, or a closely related field. Strong background in partial differential equations and stochastic analysis and a genuine interest in its applications to fluid dynamics or related areas
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, differential equations, integral calculus, probability theory, numerics) Proficiency in programming with Python (in-depth understanding of programming concepts, native Python and efficient use of libraries
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, groundwater flow simulation, and numerical model development Basic knowledge of numerical methods for solving nonlinear systems of partial differential equations (e.g., finite volume method, finite element
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of numerical methods for solving nonlinear systems of partial differential equations (e.g., finite volume method, finite element method) Experience with open-source CFD software such as OpenFOAM, PFLOTRAN
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– derivatives, wave functions, linear algebra, differential equations, numerical optimization. Some background in solid-state physics, optics, electrical engineering, chemistry, and/or materials science
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into the following sections: A - Algebra, Number Theory and Logic B - Analysis and Differential Equations C - Discrete Mathematics D - Geometry and Topology E - Numerical Mathematics and Scientific Computing F