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...) and a sharp interest in numerical methods and high performance computing. Knowledge in statistical physics, solid state physics, theoretical/quantum chemistry or atomistic modeling. Serious usage LAMMPS
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; factors affecting water use and quality; and erosion along open coasts, rivers, and lakes. The coastal engineering research group is specifically focused on the development and application of numerical
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and quantitative methods with applications of local and regional food systems and to provide analytic expertise to expand the Department's research portfolio. This position is to provide support in
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to react to the wind before it hits the blades. Using upstream LiDAR measurements (taken several rotor diameters ahead), you will develop a wind field forecasting method, leveraging principles like Taylor’s
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with open source software frameworks and/or using modern open source code development methodology is highly desirable, as is experience with numerical methods pertaining to fluid dynamics or plasma
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based on nanocrystalline material. Starting from material treat gment and testing, analytical solution based on vector potential, through the numerical FEM model, physical model and prototype
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of this postdoctoral position is to enable the formal verification of security protocols involving non-negligible probabilities. Formal methods have proven their value in the design and analysis of security protocols
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-Kovchegov equation (BK), an integro-diferential equation with divergent kernel. Since there is no analytic method for solving the BK equation, one has to do it numerically. Complementary to that, the particle
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, engineering sciences, or applied mathematics, with strong knowledge in nonlinear optics and laser physics. A solid command of numerical and simulation methods is essential, in particular the solution of partial
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, applied mathematics, or a closely related field Strong background in fluid mechanics, heat transfer, and numerical methods Practical experience in CFD; experience with OpenFOAM is considered a strong