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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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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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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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-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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-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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applicable to thin-film type equations is welcomed. The position enables short research visits within the international network program Instability phenomena in asymptotic models in fluid dynamics
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carried out between the Université Libre de Bruxelles (ULB) — SAAS research group — and the von Karman Institute for Fluid Dynamics (VKI). The postdoc will join an ongoing collaboration focused
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computational models to capture the Multiphysics behavior— including fluid flow, heat transfer, and reaction dynamics—governing the co-precipitation process. Leveraging the ASCC supercomputer at UM6P, three