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Research theme: Formal Methods How many positions: 1 This 3.5 year PhD is funded by the Department of Computer Science at The University of Manchester. The successful candidate will receive
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align with human values and preferences remains a critical challenge, particularly in sensitive domains such as healthcare, education, and governance. Current evaluation methods primarily rely
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, lack of transparency, safety assurance, and sustainability. You will work at the forefront of AI research, exploring formal and dynamic verification methods, explainable AI, and data space integration
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degree in Engineering and have an interest in and/or a good understanding of numerical modelling and testing of structures. Prior knowledge of finite element methods and programming (e.g. C++, Python
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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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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