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accuracy is still limited. In contrast, computational fluid dynamics (CFD) models can capture the arc physics and molten pool dynamics, including arc energy transfer and liquid metal convection within
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This is a self-funded opportunity relying on Computational Fluid Dynamics (CFD) and wind tunnel testing to further the design of porous airfoils with superior aerodynamic efficiency. Building
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on electromagnetic motors, pumps, or compressed air systems. However, motors are often bulky, heavy, and rigid, while fluid systems are typically tethered and inefficient. There is an urgent need for untethered soft
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spoken communication skills The following skills are desirable but not essential: Demonstration of undertaking research projects Ability to program Previous experimental experience in fluid dynamics
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project offers a unique opportunity to develop autonomous microswimmers, which are bioinspired structures at the micrometre scale that can propel themselves through fluids, mimicking natural swimming
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“lattice” version of space and time, similar to the finite difference approach in computational fluid dynamics. Using this Lattice QCD method, Centre Vortex fields will be analysed to understand particles
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Proteins are key biomarkers, indicative of normal biological or pathogenic processes and responses to intervention. Identification and quantification of such molecules in biological fluids is
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experience in computational modelling. It will involve the use of open-source computational fluid dynamics codes, with turbulence modelling and porous media approaches. It will also require the development
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Application deadline: 01/08/2025 Research theme: Turbulence, Fluid Mechanics, Offshore Conditions, Renewable Energy, Hydrodynamics, Experiments This 3.5 year PhD is fully funded for applicants from
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Fixed-term: The funds for this post are available for 1 year. Applications are invited for a Research Associate (Postdoc) to join the Prorok Lab in the Department of Computer Science and Technology