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academia and industry. Uncover and quantify critical degradation mechanisms to inform the design of next-generation fusion materials. Translate sophisticated scientific data into impactful insights through
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of the Discrete Choice Experiments in Mozambique and South Africa, and the analysis of the ensuing data Develop computational models of health actors’ decisions and responses to regulatory options Collaborate with
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to inform the design of next-generation fusion materials. Translate sophisticated scientific data into impactful insights through clear communication to diverse audiences, including industry stakeholders and
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, biochemical and molecular biological approaches. You will develop the necessary skills to derive experimental data that could identify important roles for these molecules in glioma progression and that may
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the interview in person at City Campus. For informal enquiries and further information, please contact Prof Angus Pryor apryor@glos.ac.uk
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/applicants/english/ ). Funding information: The studentship is for 3 years and provides a tax-free stipend of £20,780 per annum for the duration of the studentship plus tuition fees at the UK rate. Due to
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for this vacancy and to view further information about the role, please click the 'Apply' button above. We reserve the right to fill the position with a qualified candidate prior to the conclusion of the advertising
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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degree English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information: The studentship is
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functioning [1]. Building on these insights, you will compile and standardise datasets of collective movement and collect new data from multiple species of freshwater fish. From these data, you will identify