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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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mental status examinations and neuroimaging scans, which are often inaccurate. There is an urgent need for cost-effective and accurate diagnostic tools for early detection of neurodegenerative diseases
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and Health Data Science Mode of study: Full or Part-time study is possible Project Description: The successful candidate will work in a highly interdisciplinary environment as part of a vibrant cohort
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Characterisation" "Data Science and Machine Learning in Materials" "Plastics Recycling and Circular Economy" Research theme: "Materials Characterisation" "Data Science and Machine Learning in Materials" "Plastics
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! Where are they hiding? It turns out that binary systems containing high mass stars (and so those which go on to produce black holes), evolve through a number of stages; in one such stage there is a black
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) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic hardware. Both projects
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alto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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Early and accurate cancer detection is a major global healthcare challenge, with significant implications for patient outcomes and treatment strategies. Time-of-Flight Positron Emission Tomography
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date of this studentship is 01 October 2025 The closing date for applications is 13 July 2025. Studentship Details This is an exciting opportunity to conduct a funded full-time PhD on peer support for
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Science, Soil Science or related disciplines who have/expect to graduate with a first/upper-second UK honours degree, or equivalent qualifications gained outside the UK. Funding details Funding is available