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stakeholders (including commissioners, patients, clinicians) would like to see in the current treatment gap; followed by an assessment of the new research clinics that explicitly includes these stakeholder
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. Xiaorong Zhou via email to xiaorong.zhou@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your
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of GAGs Are confident working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to
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-intensive manufacturing processes. These machines dominate current electric powertrain solutions but pose challenges in terms of resource supply chain, recyclability, and embedded carbon footprint. As future
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current legislation for non-deterministic AI systems. (2) Create new compliance testing procedures and processes for agricultural AI machine learning systems. These are essential for manufacturers
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limitations in both measurement and modelling techniques. Current in-process measurement methods are restricted to surface-only monitoring devices (e.g., cameras and pyrometers), which fail to capture
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healthy ageing and exercise is the best preventative measure against dementia. Meanwhile brain blood flow declines as people age (Christie et al. 2022). Therefore it follows that preserving cerebral
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methods. To apply, please contact the supervisor of Dr Shanshan Xu (Email: shanshan.xu@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant
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a yearly stipend of £20,780 and is for a period of three years to commence on 1st October 2025. How to apply Applicants should have: A 2.1 or higher honours degree in a social science, and A master's
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2025 and funding is available for home students at the current UKRI rate (tax free stipend of £20,780 plus tuition fees). Postgraduate Experience The University actively supports equality, diversity and