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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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unexpected directions and creating unique opportunities to uncover new fundamental physics. This PhD studentship offers the chance to develop an ambitious research project at the interface of theory and
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combined with our joint endeavours will foster academic and industrial partnerships, contributing to the realisation of Swansea University’s Sustainable Top 30 ambition, the UN Sustainable Development Goals
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extend the data science capabilities and capacity created, to other inflammatory mediated diseases. This PhD studentship aims to train the successful candidate in public health research methods, health
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Learning as well as an ability to develop, build and test interactive systems. Funding Comment: Covers full tuition, £20,780 stipend (2025/26), plus up to £1,000 yearly for research costs.
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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