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Field
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and predictors of success identified. The findings will be implemented in practice to improve patient care. This project will involve quantitative and qualitative research methods, with training
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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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biophysical methods will be used to probe how the fusion kinases assemble into their oligomeric, active forms and interact with the HSP90 molecular chaperone system. New allosteric approaches to disrupt
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and Royal Berkshire NHS Foundation Trust, aiming to advance AI methods to improve inflammatory treatment management in the real world. It is the first-of-its-type AI research in the rheumatology
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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the genetic factors influencing changes in brain structures, using brain imaging, computational and statistical methods of network science. Project Aim: The aim of the project is to uncover the complex
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This PhD project will focus on developing AI-based methods to accelerate the Swansea University in-house discontinuous Galerkin (DG) finite element solver for the Boltzmann-BGK (BBGK) equation
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dealing with investigations on the development of bespoke high-tech laser beam processing methods for surface treatment and repair of aero-engine components. The project will deal with the study of a new
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the design of fundamentally new alloys by computational methods; production through arc melting, powder metallurgy or additive manufacturing; characterisation using advanced electron microscopy and x-ray
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the design of fundamentally new alloys by computational methods; production through arc melting, powder metallurgy or additive manufacturing; characterisation using advanced electron microscopy and x-ray