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assessment, and forecasting its future states. Together, these technologies can significantly enhance safety, reliability, and design optimization to make hydrogen-powered aviation both viable and certifiable
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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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with symptoms. However, our brain operates differently between sleeping and waking brain states, and an optimal system should take this into account. The aim of this project is to develop brain state
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(HVDC) technology will be used to bundle energy from several windfarms and transport to load centres. Future offshore wind farms are expected to be further optimized either functionally or in
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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project will involve optimizing the trapping conditions—such as laser power, wavelength, and nanostructure geometry—to prevent photodamage while achieving strong signal enhancement. The project will also
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, optimized for coupling with molecular vibrational and electronic transitions. By embedding selected organic or hybrid molecules into these cavities, the research will probe the emergence of quantum light
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response times and elucidate the energy transfer pathways within the nanogap. Additionally, the research will investigate the temperature and material-dependent properties to optimize switching efficiency
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rapidly enough. There is an urgent need to develop new tools, understand how to optimally deploy both novel and existing tools, and understand the health system implications of each approach. Novel testing
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computational design, Industry 4.0 integration, digital twins, and data-driven optimization to enhance manufacturing efficiency. Working closely with the NWCAM2 companies, this project aims to reduce waste, embed