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@nottingham.ac.uk Funded by the Dunhill Medical Trust (https://dunhillmedical.org.uk/ ) as one of their Multiple PhD Studentship Awards, we have a fully funded (stipend at UKRI rates, PhD fees (for UK nationals only
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@nottingham.ac.uk Funded by the Dunhill Medical Trust (https://dunhillmedical.org.uk/ ) as one of their Multiple PhD Studentship Awards, we have a fully-funded (stipend at UKRI rates, PhD fees (for UK nationals only
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advanced data manipulation and coding skills. The PhD student will work with Dr Jing Zhang and Professor Robert Elliott , gaining opportunities to develop and enhance their proficiency in research, advanced
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prevalence of approximately 85% of all primary malignancies arising in the skeleton of this species. We will be using techniques such as immunohistochemistry and H-scoring, histopathological analysis, RNA
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leading-edge data analysis, including machine learning/AI approaches. We are looking to attract applicants from chemistry/materials chemistry with an innate drive and curiosity to deliver new solutions
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PhD Studentship: Leverhulme Trust PhD project: Lawn grass microbial fuel cells for widespread energy
with an energy harvesting circuit. This interdisciplinary opportunity encompasses diverse skills—from plant science and electrode function to data analysis, electrochemistry, and electronics
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patient outcomes such as survival/mortality. This studentship combines novel methods in dynamic prediction, longitudinal data analysis, survival and competing risk models, and latent class modelling within
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methodologies including field work in the Arctic. Training in transferable skills, such as presenting and data analysis, will also be provided. Further training requirements of the individual will be identified
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View All Vacancies Engineering Location: UK Other Closing Date: Sunday 30 June 2024 Reference: ENG1494X2 Applications are invited to undertake a 3 year PhD programme in partnership with industry
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, The University of Nottingham. Applicants are invited to undertake a 3 year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful