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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
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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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areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. You will be creating data-driven algorithms which can solve state estimation problems in fluid
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experience required to perform the role will include a good working knowledge of fluid mechanics and compressible flow. It will be helpful to have a working knowledge of multi-phase flows in particular
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experience required to perform the role will include a good working knowledge of fluid mechanics and compressible flow. It will be helpful to have a working knowledge of multi-phase flows in particular
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Establishment). Recent work by the group (leading to REF 4* rated outputs and several Keynotes) has contributed to bridging the gap between Computational Solid and Fluid Dynamics, with a unified computational
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have experience in one or more of these subject areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. What you would be doing: You will be creating data
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, qualifications and experience required to perform the role will include a good working knowledge of fluidization, fluid mechanics and compressible flow and an interest in practical design and experimentation. It
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, qualifications and experience required to perform the role will include a good working knowledge of fluidization, fluid mechanics and compressible flow and an interest in practical design and experimentation. It
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, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally. The successful PhD