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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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Project details: Surface features are important in additively manufactured parts. While additive manufacturing technology has made great strides in the realisation of complex shapes, topologies and
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Type of award Scholarship Managing department Faculty of Science and Engineering Value The four-year funded A*STAR PhD programme at Manchester enables postgraduate researchers in science and
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device. The project would be ideally suited for someone with a strong chemistry or closely related background and an interest and in analytical and biological chemistry. Supervisor:Dr Nota Zarmpi Entry
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-disciplinary project aims to investigate the impact of CF on peripheral and cerebral vasomotor function and determine associations with blood markers of inflammation/oxidative stress and with clinical care
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project, demonstrating their potential in thermal management and protection for battery technologies. This PhD project, building on Dr Fanicchia’s extensive expertise in coating design and thermal
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approaches, including principal component analysis and machine learning, to handle multivariate datasets. Prior experience in data science is not essential; the successful candidate will be supported through
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these should be in healthcare, health services research, a social science or a closely-related discipline. Essential Application Experience of working on qualitative or mixed methods research projects
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available to students undertaking study in: Accounting and Finance Business and Management Science, Technology and Innovation Policy Academic requirements Candidates must meet the academic requirements
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consumables, equipment, and travel related to the project. Number Of Awards ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned