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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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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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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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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
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chemical engineering, or in a closely related field. If you do not meet these entry requirements but have evidence of equivalent skills/expertise, please contact institution director (Prof Elizabeth Gibson
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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the Humanities/ Social Sciences disciplines, to join the Wellcome Trust funded discovery project After the end: Lived experiences and aftermaths of Diseases, Disasters and Drugs in global health
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the Humanities/ Social Sciences disciplines, to join the Wellcome Trust funded discovery project After the end: Lived experiences and aftermaths of Diseases, Disasters and Drugs in global health