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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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to develop, because all of the features associated with the small- and large-molecule drug components must be optimised together. Computational mathematical modelling is used to make the optimisation of ADCs
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health. This project seeks to develop triple respiratory epithelium models that links different areas of the airways (nasal cavity, bronchi and alveoli) through a circulating fluid system. The models will
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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from working closely with its team of post-docs, associated researchers and partners (that range from Microsoft Research to the NHS). For this project you should have a strong interest in AI/Machine
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physics proposal for the extension of the Standard Model. The target theory and observables will be identified together with the candidate, depending on their specific skill sets and research interests, and
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and interaction between devices have a significant impact. In this project you will work on and develop numerical modelling capabilities for arrays of turbines with non-homogeneous flows and wake
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shape most of the cosmos we observe today. Many of the most compelling models in these areas predict stochastic backgrounds of gravitational waves—signals that may be detected by current and next
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training to develop their knowledge and skills in epidemiology, population data science, such as data manipulation, modelling, and visualization, and information governance. The student will have the