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microenvironment to weaken resistance mechanisms and enhance the efficacy of existing treatments. By manipulating stress responses in fungi such as Saccharomyces cerevisiae and Aspergillus nidulans, the project aims
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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to improve mechanical performance in composite structures under extreme loads. Emphasis will be placed on the design of hybrid configurations capable of promoting controlled and progressive failure modes
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area of Mechanics and Materials is interpreted widely, encompassing experimental, theoretical and computational methods. However, it is expected that the PhD will be supervised by a member of Academic
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developed during this work will deepen our understanding of nonlinear wave phenomena in fluid mechanics and contribute to the broader theory of interfacial flows. This PhD project is in a competition for a
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. See UKCISA for further information. Starting in October 2026. You will need to meet the minimum entry requirements for our Engineering Materials PhD programme. Candidates must meet Surrey graduate entry
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benefits toward a net-zero future. Project specific entry requirements: The PhD should have background in Materials, Chemistry, Engineering etc. Potential PhD programme of study: PhD in Renewable Energy
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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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will uncover the interfacial solvation structure, validated through comparison between computed and experimental sum-frequency vibrational spectroscopies, as well as the mechanism of chemical
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connectivity or mechanical integrity. The interaction between fluid velocity, vapour generation, and pack geometry must be quantified to enable scalability for mobile and stationary applications. This PhD