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early risk identification. This PhD project aims to design and develop personalised 3D-printed insoles with enhanced offloading performance and integrated sensing capability. The work will explore novel
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Almost all radar systems currently transmit from the same location. A drastic departure from this sensing architecture is distributed radar – enacted by a coherent network of spatially distributed
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to guide conservation under accelerating climate change. This PhD project will therefore integrate climate data with physiological and behavioural systems, by creating a digital twin framework that
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, excellent chemical resistance, and tuneable microstructure. Combined with the design freedom of 3D printing, we have the opportunity to design new membranes whose microstructure and macro-architecture work
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PhD studentship: Adaptive Logic-Based Machine Learning Grids Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
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regions (UL-CDRs) represent a unique structural class with exceptional potential for targeting otherwise inaccessible epitopes. These UL-CDRs feature a distinctive architecture comprising a β-ribbon stalk
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This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £24,000 per annum, covering full
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question, but which also provide ways for insights from these engagements to feed into innovation processes on an ongoing basis. This PhD project will develop and evaluate an approach for mapping diverse
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how best to balance competing objectives. We will also investigate architectural design strategies that implicitly encourage constraint adherence, such as averaging features across satellites. In