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(or international equivalent) in a relevant subject such as Sport and Exercise Science, Biology, Human Physiology, or Biological Sciences A relevant Master’s degree, for example in Physiology and/or Nutrition Applied
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spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based on the use of state-of-the-art
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The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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, psychology, health economics, statistics, health services research), and with a commitment to conducting excellent and innovative research that will advance care, support and outcomes. Example topic areas
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, which is not possible with current systems. It aligns with key STEM themes and EPSRC’s strategic focus on ‘Engineering’, ‘Health and Medical Technologies’, and ‘AI, Digital, and Smart Applications
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Project details Early detection of cognitive decline allows identification of those at high risk of developing dementia when medical treatments may be effective in preventing disease onset. Our
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with Professors Serena Best and Ruth Cameron at the Cambridge Centre for Medical Materials in the Department of Materials Science and Metallurgy. The SHIELD Doctoral Network offers an exciting
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the technology, hence there is a drive from the industry to address this. To answer this question requires an interdisciplinarity approach, combining Industry input alongside physical sciences and physiological
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on social cognition), medical profile and the quantification of plasma and salivary oxytocin in children/adolescents with craniopharyngioma and septo-optic dysplasia (recruited from 4 participating NHS
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Ultrafast lasers drive innovations from quantum technology to medical imaging, yet controlling femtosecond pulses remains a major challenge. Metamaterials are artificial structures with