281 evolution-"https:"-"https:"-"https:"-"https:"-"https:" scholarships in United Kingdom
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Field
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the development of trustworthy and deployable medical AI systems.
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. Methodology The PhD will be divided into 3 work packages (WP): WP1 - Digital Twin Development: This WP focuses on building physics-informed digital twins for high-impact use cases: Smart Grids (simulating load
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focus on cancer outcomes, real-world evidence, and data-intensive population health research with direct relevance to NHS policy and guideline development. The supervisory team combines clinical and
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coupling. This PhD project focuses on the development of next-generation high power density EMS, to unlock a more compact and efficient energy ecosystem, where EVs do not just consume power, they help drive
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Vehicle Health Management (IVHM) Centre is a major collaborative venture at Cranfield, started in 2008, with funding from the East of England Development Agency (EEDA); a consortium of core industrial
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Project details Bridging entrepreneurship and development: Understanding how informal ventures alleviate multidimensional poverty Over 90% of entrepreneurial activity in developing economies is
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inlet boundary layers. Together, these features can significantly alter the formation, strength, and development of secondary flows. This PhD project focuses on understanding turbine secondary flows under
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metabolomics and novel physiological MRI technique development within a translational research environment bridging analytical bioscience and neuro-oncology. Research Environment The successful applicant for a 4
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Met’s Doctoral College community, benefiting from specialist training, collaboration opportunities, and professional development. This is an exciting opportunity for a motivated researcher passionate
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generation of AI leaders. Through industry exposure and structured cohort activities, you’ll gain the skills and networks needed to shape responsible, high-impact AI development across research, government