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. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image
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device longevity (37million cardiac cycles per year!), whilst ensuring optimal cardiovascular function for the patient. This project proposes to integrate state-of-the-art image-based measurement
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-derived criteria. A scoping review, alongside initial semi-structured interviews and focus group transcripts subjected to thematic analysis, will build a picture of what key stakeholders want. Clinic
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. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer simulations. The
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, the process of taking MOFs from discovery to scale-up and commercial exploitation take many years since current methods of MOF production are poorly reproducible, unsustainable, and conditions optimised in
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the Cambridge Brain Tumour Imaging laboratory is a unique laboratory involved in using imaging and other techniques o guide and improve surgery. This project is funded through the NIHR HealthTech Research Centre
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prototype development, construction, operation and analysis as well as characterisation of different scintillators and fibres. This project also includes the opportunity to spend an extended period working
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Generative AI for image and video reconstructions from brain signals DoS Dr Vassilis Cutsuridis (vassilis.cutsuridis@plymouth.ac.uk) 2nd Supervisor Dr. Giorgio Ganis (Giorgio.ganis@plymouth.ac.uk
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. Natural circulation loops (NCL) will be an essential component in the safe and reliable operation of Generation III+ and IV nuclear reactor designs, including High Temperature Gas-Cooled reactors (HTGR
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of the most resource-intensive processes in this sector is the cleaning of processing equipment, which accounts for around 30% of a site's water and energy use. Cleaning is typically done using automated Clean