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Applications are invited to undertake a 3.5 year PhD programme to explore new laser surface engineering methods for functionalising the electrochemical performance of solid-state batteries. In
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The project aims to develop a publicly accessible in silico database that identifies and catalogues bacterial genes capable of altering the effectiveness of chemotherapy drugs in colorectal cancer (CRC) patients. Focusing on microbial modification of 5-fluorouracil (5FU), the study will...
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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
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(Enrolment open from mid-September) Supervisors: Dr Saptarsi Ghosh Prof David Ritchie Dr Dan Lamb Aligned programme of study: PhD in Electronic and Electrical Engineering OR PhD in Materials Engineering Mode
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they take part in a residential camp and longer-term mentoring programme created by and for those with an ULD. One strand of the PhD will provide feedback to Reach on the quantitative and qualitative
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engineering, chemistry or physics graduate to be part of the semiconductor for net-zero revolution. This studentship will also be part of an exciting new Doctoral Training Initiative called UK Semiconductor
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directly contribute to the UK’s decarbonisation goals and Rolls-Royce’s Hydrogen Demonstrator programme. Throughout your PhD, you will: Receive cohort-based training across the CDT’s partner universities
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, computational modelling and experimental work. You’ll join a pioneering multidisciplinary team that values equity, diversity, and inclusion, gaining unique expertise in turbomachinery pump development, hydrogen
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highly talented and dedicated PhD student with a 1st class or 2:1 degree in the field of Engineering, Mathematics, Physics, Architecture or Computer Science. A MSc degree in a relevant area is desirable
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and multidisciplinary approach to such questions, bringing together knowledge in fields as diverse as, e.g., mathematical logic, the theory of computation, software engineering, artificial intelligence