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receive a generous tax-free annual stipend of £25,000, full-time home tuition fees paid, and £2,000 per year for consumables and travel. Funding from MTC requires passing their security checks before
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for ‘Percentage from this source’, and choose ‘Yes’ for funding be secured). Please also remember to include all documents sent to hkhistory-centre@bristol.ac.uk in your application. Candidate requirements: A pass
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be secured). Please also remember to include all documents sent to hkhistory-centre@bristol.ac.uk in your application. Candidate requirements: A pass in a Master’s degree (or international equivalent
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inflation) and for securing their own visa. The university cannot provide further financial or visa support.
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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targeting AMR gene suppression AI-driven genome design: Use LLM tools (e.g. PlasmidGPT, Evo2) to refactor plasmid genomes for enhanced manufacturability, safety, and performance Microbial validation: Test
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Wales experience and training with the SAIL databank, a world-class secure research environment with some of the richest population data in the world being positioned in a diverse and thriving team
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specialise this single foundation model into a team of expert agents (e.g., for security, optimisation, and automation). This method instils domain expertise by freezing the LLM's core parameters and fine
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and signal processing methods using machine learning techniques to enhance the resilience, efficiency, and security of cell-free massive MIMO systems, which are expected to play a key role in next
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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By