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Field
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, surgery planning with patient data for surgeons, real-time remote guidance for maintenance in industrial plants, and iterative design simulation for architecture and engineering. However, its wide adoption
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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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of the infrastructure, design and execution of large‑scale measurement campaigns, and development of data‑driven models for room acoustics and spatial‑audio. The specific research direction will be finalised after
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include: Developing an evidence-based framework for peer support as a psychosocial intervention for AA. Designing and implementing peer support tailored to diverse needs. Addressing the specific needs
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to analyse complex datasets, extract meaningful insights, and guide the optimisation of drug molecules. Collaborate with internal groups, including the Centre for Additive Manufacturing (CfAM) to design and
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ultrasound. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of medical micro-robots targeting drug delivery, exploiting combinations of functions
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functional features that enabled them to respond to environmental cues, including temperature, pH, light, magnetic fields, and ultrasound. This project will develop the materials, methods, and designs
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deposition affecting operational utility of SuperMagdrive propelled launcher kick stages; leading to an updated design of kick stage that could be offered into the UK's commercial spaceflight ecosystem
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plan in collaboration with PhD supervisors Achieve ethical and governance approvals to undertake research Achieve publication of research in appropriate peer reviewed journals Present research
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disciplines • Ability to work independently and cooperatively • Commitment to inclusivity, responsible research and innovation How to apply Applications should be submitted by following the steps outlined