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This is a full-time, funded PhD opportunity, open to both home and overseas students. Please note that only home fees will be covered - eligible overseas students will need to make up the difference
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We are delighted to offer a fully funded PhD studentship in Digital Music Interaction. The successful candidate will be based in School of Computing and Creative Technologies at The University
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has arisen to study for a PhD alongside our commercial partner, Totally Natural Solutions Limited (TNS), to develop novel, clean label and sustainable flavourings for use in brewing and other industries
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Research theme: Digitalisation for Sustainable Construction This 3.5 year project has EPSRC DTP funding. For UK students only, and EU students with settled status. Tuition fees will be covered and you will receive a tax free stipend set at the UKRI rate (£19,237 for 2024/25). The project will...
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. The project requires a good understanding of logic, and the willingness to learn the necessary mathematical background in computational complexity theory. How to Apply To apply for a PhD studentship
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: Flavour chemistry, analytical science, brewing science Research Description An exciting opportunity has arisen to study for a PhD alongside our commercial partner, Totally Natural Solutions Limited (TNS
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Supervisory Team: Richard C. Knighton PhD Supervisor: Richard C. Knighton Project Overview The aim of the project is to work on state-of-the-art heteropolymetallic architectures (polynuclear
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Applications are invited for a three-year PhD studentship. The studentship will start on 01 October 2024. Successful applicants will be part of a large, vibrant, highly collaborative community
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Please note: while this is a funded studentship, funding restrictions mean this opportunity is only open to applicants who qualify for UK home fees.Cells are electric! Bioelectricity has a role in the electrophysiology of our nerves and muscles, wound healing, organ development, and cancer.You'll...
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Supervisory Team: Dr Susmita Naskar, Dr Tanmoy Mukhopadhyay Project description: This PhD studentship will involve a combination of computational and experimental work, providing the students with