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, organisational and policy context of the National Health Service. The PhD research will focus on how bottom-up networks are involved in promoting change. In recent years, numerous networks of clinicians
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in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods
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, organisational and policy context of the National Health Service. The PhD research will focus on how bottom-up networks are involved in promoting change. In recent years, numerous networks of clinicians
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in an engineering or related subject with experience of mechanics, finite element methods and numerical analysis. Please state your entry requirements plus any necessary or desired background A first
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experience in microstructural analyses. Familiarity with mechanical testing procedures and, ideally, experience in numerical simulation (e.g., finite element methods). Strong analytical skills, an independent
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Project advert Perfluoroalkyl substances (PFAS) are manmade chemicals that are ubiquitous within society. PFAS offer water/oil repellence and non-stick properties, featured in numerous consumer
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further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use the MMI apparatus, gaining knowledge of, for example
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of data-driven approaches within these multi-parameter models to produce faster and more robust correlations and tools that can be incorporated within industrial methods and have an impact on future designs
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will lead to natural collaboration opportunities. The primary methods used in this project will be experimental, involving fluid characterisation and high-speed imaging experiments, using Phantom high
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. the incompressible Navier-Stokes equations, and ideally have some experience in programming and numerical methods. English language requirements: Applicants must meet the minimum English language requirements. Further