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‘real world’ solutions. Candidate Requirements As a minimum we require candidates to have a First-class or 2:1 MEng or and MSc with merit (over 60%) in a relevant area i.e. Chemical Engineering, Process
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Ultrafast dynamics of Photoactive Metal Complexes for antibacterial applications School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Prof J Weinstein
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with age or is linked to particular medical conditions. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. View
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-reported levels of physical activity, fatigue, sleep, social participation, and health related quality of life in people who suffer stroke. 2) To investigate whether exercise (ReSTORe) or fatigue (RICFAST
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of a broad range of medical disorders including cerebrovascular disease, pulmonary disease and cancer. Previous research in patients with Posttraumatic Stress Disorder (PTSD) and depression suggests
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Interaction between medical materials and skin Department of Mechanical Engineering PhD Research Project Self Funded Prof M Carre Application Deadline: Applications accepted all year round Details
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Silico Trials aim to predict the safety and efficacy of medical interventions (i.e. devices and drugs), which are necessary to obtain regulatory approval such that these interventions can be brought
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less have investigated optimisation of environmental objectives with detailed modelling of bidding decisions. The candidate will require a 1st or 2:1 degree in Engineering, Physics, Mathematics
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diagnosis, personalized treatment planning, and improved patient outcomes. This project will focus on developing multi-modal AI models that can handle the complexities of medical data as well as the domain
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to validate the process. We have funding to carry out RNA sequencing and make bespoke cancer vaccines. The candidate should have a keen interest in oncology, complex cancer models, and therapeutic interventions