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resonant acoustic mixing (RAM) – a relatively novel processing methodology which is of increasing industrial interest spanning multiple sectors. The project will allow the candidate to explore a number of
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restoration success and flood resilience elsewhere. Current models treat sites in isolation, lacking tools to predict these feedbacks. This three-year PhD will develop and apply cutting-edge numerical modelling
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. Quantifying the impact of parameter uncertainty on system performance typically requires repeated evaluation of computationally expensive numerical models, which may be impractical within project timescales
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emerged to make meshing more flexible by allowing elements to span across multiple CAD faces without explicitly modifying the geometry. However, these ideas have not yet been developed in high-order
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fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability to teach in German and English We offer
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background in (not necessarily all) the following fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability
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mediated synthesis in the cortex of a healthy adrenal gland and implementing them into numerical simulation codes for handling complicated spatial profiles. Validating the models by comparing
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description of steroid enzyme mediated synthesis in the cortex of a healthy adrenal gland and implementing them into numerical simulation codes for handling complicated spatial profiles. Validating the models
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in conjunction with the industry partner, this PhD project aims to develop a reliable numerical modelling framework capable of: (i) simulating coupled heat and fluid flow within deep geothermal
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: Research Objectives: Definition of a suitable interface region based on the results from other IRP. Numerical analysis of the plume propagation in the near field of the nozzle outlet. Multiscale simulations