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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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Brandeis University, Theoretical and Computational Physics Position ID: Brandeis-Theoretical and Computational Physics-POSTDOC [#31407] Position Title: Position Type: Postdoctoral Position Location
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department You will be embedded in the BIOS/Lab on a Chip group at the University of Twente, part of the Max Planck Center Twente for Complex Fluid Dynamics, the J.M. Burgers Research Center for Fluid
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Job Description We are seeking a full-time Postdoc in the section of Digital Building Technology (DBT) at DTU, Department of Civil and Mechanical Engineering (DTU Construct). This research position
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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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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours 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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-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