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Field
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-Performing Computational Fluid Mechanics. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading international technical
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Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Fluid Dynamics. Mathematical topics
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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fluid dynamics. You will be able to work independently, and you must have the ability to manage your own academic research and associated activities. You will have excellent communication skills including
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staff position within a Research Infrastructure? No Offer Description Opportunity code: Postdoctoral (RL2_SP3_WP3.6) Area/Theme: “Thermo-Fluid Dynamic Models and Flow Assurance / Optimization
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manager is Sabine Rode. The recruited researcher will simulate flows within membrane modules using ANSYS Fluent computational fluid dynamics software. He or she will study the nature of flows and solute
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fluid dynamics with focus on pattern formations and their stabilities in thin-film type equations, which is financed by grands awarded from Crafoord foundation and the Royal Physiographic Society of Lund
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acoustics and fluid dynamics to the applications in biomedicine. The group currently has four PIs and 16 scientists (PhD students, postdocs, and researchers) with different backgrounds. The group strives
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-graphy, etc.). For following skills are essential for the candidate: • Recent thesis in the field of fluid mechanics/chemical engineering specializing in Experimental Fluid Dynamics; • Sound knowledge
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position is connected to the study of partial differential equations (PDEs) in fluid dynamics with focus on pattern formations and their stabilities in thin-film type equations, which is financed by grands