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. Essential Application & Interview Significant experience in high-fidelity simulations of turbulent flows, high-performance computational methods and programming. Essential Application & Interview Unique self
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New anticancer therapies based on transition metal complexes
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Incorporating social preferences into public health policy decision-making using evolutionary multi-objective optimization and multi-criteria decision modelling approaches
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Optimising wheat-fungal symbioses for enhanced nutrition and sustainability
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the mechanisms that drive eruptions and flares. To achieve this, a numerical model must capture the fundamental physical, radiative, and ionisation states of the Sun’s vastly different atmospheric layers, as
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Artificial intelligence to Building Energy Systems for Next Generation Control Strategies
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Computational analysis of the flow through aerofoil cascades School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Prof
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Large Eddy Simulation Around Buildings (LES)
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Recreating the Head and Neck Cancer Microenvironment
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Early-stage failure prediction in fusion materials using machine learning