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researchers, health data experts and health service providers. It seeks to integrate the human (ensuring person-centred preferences about care) with the technological ( “digital twin” computer models of health
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, distinctive system-level approach, dedicated to the pressing challenge of maximising the life of high-integrity sector products. Encompassing technical, business model, supply chain, culture, risk, standards
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implications for their health, and that of their offspring, needs to be defined. To begin to fill this gap in our understanding, we have developed a model in which we are able to give mice a soluble e-cigarette
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of the scaffolding RNA molecule. Paraspeckles represent a unique model system for the studies of condensate assembly and function. Recent work from the supervisors' labs has uncovered novel molecular principles
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redirecting blood flow, then safely dissolving, eliminating long-term risks of permanent implants and aligning with Net Zero Goals. You will use modelling to identify an optimal PHA-based design with a
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information across regions to make sense of the world and respond in real time? This PhD project will address this question using cutting-edge experimental and computational approaches in two model systems
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” computer models of health systems). The process of designing and implementing changes within services (general practices and community diagnostic centres) will follow systems engineering principles
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November 2025 Details We offer a PhD position working on developing retrieval-augmented, multi-modal, and explainable Large Language Models (LLMs) for fact-checking. Nowadays, social media is becoming
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'fit for purpose' after simulated long-term use. This non-linear behavior necessitates the use of advanced ML models that can capture complex degradation kinetics. Additionally, functional tapping torque
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providers. Key elements of the project include the development of “digital twin” computer systems to model and inform patterns of medical testing in long term conditions and the use of engineering approaches