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We are looking for a highly motivated and dynamic postdoc for a 2-year position, who will investigate brain fluid mechanics. The position will commence 28 October 2025. Our center Center for
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modal identification. The approaches were tested in light fluids by decoupling the analysis of random ambient noise from mechanical and acoustic sources. The aim of the present post-doctorate is to
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flow, and a theoretical/numerical part on “fluid mechanics” focusing on transport by complex flows (e.g., turbulent flows). Depending on the profile of the person recruited, their activities will
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pertaining to fluid mechanics of turbulent and environmental flows starting September 1, 2025, or as soon thereafter as possible. The position is for one year, with the possibility of renewal for two
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, and with analyzing the resulting data. WHAT WE ARE LOOKING FOR You hold a thesis-based doctorate related to fluid flow and transport in porous materials, fluid mechanics, or a related research domain
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
, present at scientific conferences, and contribute to collaborative proposals. Minimum Education and Experience Requirements Ph.D. in Oceanography, Fluids Dynamics, Mechanical Engineering, Applied
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| Mechanical and Aerospace Engineering Perform basic research in computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects. Emphasis to be placed
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applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications pertaining to fluid mechanics of turbulent and environmental flows starting September
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developing the technical basis for the first fusion nuclear facility and the position will involve several disciplines, with an intended focus on design, analysis, and optimization of fluid flows in tritium
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, Mechanical Engineering, Chemical Engineering, Environmental Engineering, or a related field. We seek candidates with strong expertise in thermo-fluid engineering, thermodynamic modelling, and optimization