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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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sequentially. Discovering how to leverage this will open new opportunities in manufacturing: structural and medical components with mechanical and chemical properties that vary across dimensions, fully 3D
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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@nottingham.ac.uk Funded by the Dunhill Medical Trust (https://dunhillmedical.org.uk/ ) as one of their Multiple PhD Studentship Awards, we have a fully funded (stipend at UKRI rates, PhD fees (for UK nationals only
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@nottingham.ac.uk Funded by the Dunhill Medical Trust (https://dunhillmedical.org.uk/ ) as one of their Multiple PhD Studentship Awards, we have a fully-funded (stipend at UKRI rates, PhD fees (for UK nationals only
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respiratory infections and health economics. Essential skills: A Master in Epidemiology or Public Health with experience in medical statistical analyses, an understanding of Health Economics, knowledge