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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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of unmodified and modified polymers. If the later, then the overall non- biodegradable component would not be eliminated but would be reduced. 'Smart substitutions'. This explores the possibility that chemical
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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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of marginalised communities through documents, interviews, and focus groups to understand their views on health data governance. Additionally, you will also be responsible for managing some organisational elements
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, and household appliances. The research aims to apply a novel porous treatment technique to control turbulence generation mechanisms, thereby mitigating aerofoil broadband noise. A key objective is also
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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-phonon interactions, which together form tri-partite coupling that gives rise to effective optomechanical interaction between collective excitonic states (optical) and vibrational modes (mechanical
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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of the mechanical properties of the cellular actin cortex, the biomechanics of cell division, and the coupling between cell shape and mechanics and cellular state / fate during cellular transitions. The successful