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expanding the UK’s renewable energy portfolio and reducing reliance on land based infrastructure. This PhD project will investigate the hydrodynamic performance of floating pontoons used to support offshore
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Generative AI applications continue to expand, optimizing computational efficiency is becoming increasingly critical, particularly for AI in resource-constrained environments or at the edge. To address
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‑stationary atmospheric conditions involving shear, veer, yaw misalignment, and wake interactions. High‑fidelity CFD methods (RANS/LES) can capture these effects but are too computationally expensive
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lower-cost offshore power architectures. The project will produce efficient, practical SWIPT systems with novel metamaterial devices, enhanced adaptability, and validated performance. Results will lead to
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Coastal communities face increasing pressure from sea level rise and habitat loss. Seawalls and rock armour provide essential protection but have high embodied carbon costs and often degrade local
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or relapse. We use a hybrid of wet lab and dry lab techniques to repurpose drugs as adjunct therapies to R-CHOP. We previously performed a high throughput screen of B lymphoma cell lines with a library of FDA
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features from multiple imaging modalities (CT, MRI, PET, ultrasound); (2) design advanced AI algorithms for early-stage cancer detection with high sensitivity and specificity; (3) create user-centric AI co
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monitoring. The resulting solution will be rigorously evaluated for accuracy, privacy, system performance, and real world acceptance by PwMD and the carers. Eligibility Applicants should have a first or upper
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for applications in RF to THz electronics and early diagnosis of Alzheimer’s/cancer diseases using detection of protein biomarkers in patient blood samples. Such FETs will enable advanced high-frequency (HF
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for the programme, academic IELTS score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported for 3 years and includes full Home tuition fees plus a stipend of at