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Field
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3 Year, full-time PhD studentship Eligibility: Open to home, EU and international students University fees and bench fees: This studentship will cover university fees at the home rate. However
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of 3 ½ years duration. The PhD studentship project will use state-of-the-art experimental structural biology and computational tools to gain a deeper understanding of the environmentally important
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). Funding notes: Funding for this project is available for UK studentship fees (only UK fees will be paid, and any additional PhD fee costs where needed must be paid by the successful applicant), a yearly
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Are you an outstanding and ambitious engineering or computer science graduate looking for the next challenge? Do you want to work at the frontier of artificial intelligence and robotics to enable
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particularly wide skills training, including experimental and computational work. Applicants should thus have a first (or upper second) class degree in chemistry, biochemistry or a related, relevant subject
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contribute to the field of planetary science and to develop a world-leading expertise in geophysical, numerical and experimental fluid dynamics. The successful candidate will also be able to develop
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requirements for our PhD programme. Essential criteria: A First Class undergraduate degree or MSc with Distinction (or equivalent overseas qualification) in mathematics, computer science, physics or engineering
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urban green infrastructure, and shaping future design standards. Ideal for candidates passionate about sustainability, plant science, and nature-based engineering innovation. This PhD studentship is part
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-year PhD studentship will join the Brain Tumour Research Centre of Excellence (5-year programme grant) at the University of Nottingham — a cross-Faculty, multidisciplinary partnership spanning
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training in social science research methods: 4.5 years (MA Social Research + PhD) 3.75 years (Integrated PGCert/PhD) 3.5 years (PhD only) Programme length is determined according to ESRC eligibility criteria