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their potential; many reported behaviours are strongly dependent on sample preparation and alignment and current fabrication routes restrict sample geometries thus limiting current applications. This PhD
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Bachelors Honours degree (or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical
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-fidelity industrial simulation. Engineering applications include Formula 1, turbomachinery and nuclear fusion. These problems exhibit complex geometries and challenging time-varying physics which require
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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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oscillators interacting with body geometry and environment, rather than from centralized digital control. Using a combination of reduced-order models (Hopf/van der Pol/Kuramoto type) and experimental
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When light illuminates nano-sized metallic structures, the free electrons in the metal collectively oscillate, creating `plasmons'. By specifically designing the geometry and arrangement of the nano
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When light illuminates nano-sized metallic structures, the free electrons in the metal collectively oscillate, creating `plasmons'. By specifically designing the geometry and arrangement of the nano
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and placement. This research aims to answer the following key questions: - How do varying porosity, core material characteristics, and breakwater geometry influence wave overtopping rates and resulting
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-landslides, orographic rainfall effects and extremes), using the volcanic island of Tenerife as a case study. Some work has been done (e.g. on Hawaii), but knickpoint geometry and using state-of-the-art
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primary research aim will be to explore how the geometry of data can help build better uncertainty-quantifying models, particularly for complex data types like molecules and images. However, other research