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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, dynamical systems, and scientific computation. Ideal experimentalists will have strong skills in experimental fluid mechanics, including laboratory design, high-speed imaging, flow visualization, and
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research visits within the international network program Instability phenomena in asymptotic models in fluid dynamics to institutes in Germany, and offers the opportunity to participate in subject related
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involving Fluid Dynamics. Demonstrable affinity with studying the physics of the ocean and preferably with polar oceanography. Experience with numerical modelling. Excellent ability to communicate in both
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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-leading groups in this field. The interdisciplinary research carried out in the group ranges from fundamental work in physical acoustics and fluid dynamics to the applications in biomedicine. The group
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, Python). Experience with Computational Fluid Dynamics (CFD) simulation software (e.g., Ansys Fluent) and Flight/Astrodynamics Simulation Software (e.g., NASA GMAT, Ansys STK) is considered an asset
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leading group in high-order methods: a class of finite element methods that is now leading the way for future computational fluid dynamics simulations. Specifically, our group develops the Nektar++ spectral
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(XPCS) that is analogous to dynamic light scattering using X-rays. XPCS allows studying motions in several disordered systems ranging from complex fluids, colloids, vesicles, proteins to glasses. The high
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for future computational fluid dynamics simulations. Specifically, our group develops the Nektar++ spectral/hp element framework (www.nektar.info ), and its mesh generation tool NekMesh. The successful
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for future computational fluid dynamics simulations. Specifically, our group develops the Nektar++ spectral/hp element framework (www.nektar.info ), and its mesh generation tool NekMesh. The successful