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the atmosphere, and the interactions between wind farms. This project represents an opportunity for us to advance our collective knowledge of fluid and atmospheric dynamics relevant to wind energy. Join us in
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to push the boundaries of fundamental fluid and atmospheric dynamics, enhance wind farm efficiency, and deepen our understanding of their interaction with the atmosphere. Join us in pushing the boundaries
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staff position within a Research Infrastructure? No Offer Description Within the Soft Matter, Fluidics, and Interfaces (SFI) group and closely working with the Physics of Fluids (PoF) group, we have a
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) contact in a fluid environment is affected by coupled phenomena such as frictional heating, fluid pressurization, etc. By instrumental analysis of single-grain experiments, we can formulate a physical basis
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-Diffusion model and extended to more complex models based on ion and fluid transport phenomena and physical chemistry (Poisson-Nernst-Planck and Navier-Stokes). The PhD student in this project will closely
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in fluid dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Proficiency in programming languages such as Fortran, C/C++, MATLAB
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with the Technical University of Denmark you will develop a detailed Computational Fluid Dynamics (OpenFOAM) model to simulate and quantify the trapping of microplastics in salt marsh vegetation. Next
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to the soil’s mesostructure, are key to the initiation and runout of submarine landslides. The fact that different regimes, e.g., quasi-static or fast-flowing, of the coupled particle-fluid systems interplay with
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) contact in a fluid environment is affected by coupled phenomena such as frictional heating, fluid pressurization, etc. By instrumental analysis of single-grain experiments, we can formulate a physical basis