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progress from fundamental surface science to the fabrication of intelligent, multiplexed sensor arrays, enabling fast and reliable cardiovascular health monitoring. This exciting 3-year PhD will be conducted
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Computer Science or MSc in related field. Skills Knowledge of programming, Computer Vision, Machine Learning, or related discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow
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Requirements: A first-class or upper second-class (2:1) Bachelor’s degree or a Master’s degree (or equivalent), in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline. A
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government and education policy priorities and futureproofing learning experiences to equip future generations of students with the skills to thrive in a technology-driven and interconnected world. Supported
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to enhance patient engagement and programme design Funding Only Home students can apply. Tuition fees will be covered for the duration of the three-year award, which is £5,006 for the year 2025/26. The student
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challenge of our time, and it is more urgent than ever to act fast on reducing greenhouse gas emissions from current chemical manufacturing processes. Plasma technology provides a sustainable, fossil fuel