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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning
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of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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of storage capacity and levelized cost of hydrogen. The appointee will be expected to: Develop detailed cost and energy yield models for floating offshore wind turbines with onboard storage of hydrogen and
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. The appointee will be expected to: Develop detailed cost and energy yield models for floating offshore wind turbines with onboard storage of hydrogen and electrolysers and ancillary systems. Contribute
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. Niamh Cahill. The core concept of this project will be to bring together and deploy cutting-edge approaches to small-area population estimation and modelling of population movements in the context
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to bring together and deploy cutting-edge approaches to small-area population estimation and modelling of population movements in the context of examining population exposure to extreme sea levels in low-elevation