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Imperial College London Featured PhD Programmes
Imperial College London Featured PhD Programmes
Queen’s University Belfast Featured PhD Programmes

patient safety PhD Projects, Programs & Scholarships

We have 7 patient safety PhD Projects, Programs & Scholarships

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We have 7 patient safety PhD Projects, Programs & Scholarships

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Security of Medical Cyber-Physical Systems

Many medical conditions require therapy via implantable and wearable devices, such as cardiac devices to treat arrhythmia treatment and artificial pancreas systems for glucose regulation in diabetes. Read more

Outcomes for Pressure Ulcer Trials (OUTPUTs): development of outcome measurement instruments for core domain outcomes

Background. Pressure Ulcers (PUs) are “localized injury to the skin and/or underlying tissue usually over a bony prominence, as a result of pressure, or pressure in combination with shear” and are categorized numerically according to the tissue layers involved[1]. Read more
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Unravelling drug-gene-phenotype interactions in complex cardiovascular diseases: A PhD studentship co-sponsored iCASE with AstraZeneca (AZ) & GlaxoSmithKline (GSK)

PhD Studentship in Stem Cell Biology, Disease Modelling and Drug Development. Joint between academia and industry. Supervisors. Chris Denning, Mattea Finelli (University of Nottingham), Davor Pavlovic (University of Birmingham), Amy Pointon (AstraZeneca), Will Stebbeds (GlaxoSmithKline). Read more

Hospital Acquired Complications in Tasmania: prevalence and health economic implications

About the research project -. https://www.utas.edu.au/our-research/research-degrees/available-projects/health-and-medicine/area/menzies-institute-of-medical-research/hospital-acquired-complications-in-tasmania-prevalence-and-health-economic-implications. Read more

Surrogate models and adaptive algorithms for sampling high-dimensional design spaces for in-silico trials

  Research Group: School of Computing
This project develops new strategies for sparse sampling and surrogate modelling by neural networks and Bayesian meta-models to efficiently evaluate the outputs of expensive computational models and allow the efficient construction of large in-silico trials in the future. Read more
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