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Type of award Studentship Value Fully Funded Studentships Specified use Please refer to the criteria on the BUDI website . Tenable period Ongoing Continuation of award Continuation of the award is subject to satisfactory progress. Number available This year, there are 50 studentships...
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- covering a full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 3.5 years full-time or 7 years part-time
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experimental work exploring how people interpret data visualisations. The successful candidate will design, program, and deploy experiments using tools such as PsychoPy and Pavlovia to measure people’s
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Context of the Role The University of Manchester (UoM) Integrated Clinical Academic Training (ICAT) programme facilitates and supports the academic development of postgraduate clinical (Medical
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fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
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and capabilities within the University of Manchester to support Vernacare’s commitment to sustainability. Knowledge Transfer Partnerships (KTP) is Europe’s leading programme helping businesses
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-Robot Interaction researchers as well as professional Engineers from Amentum. The successful candidate will contribute to the wider joint research programme tackling these interrelated challenges and will
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to drive forward a collaborative programme of research between the Divisions of Pharmacy and Optometry, Cardiovascular Sciences and Cancer Sciences. The post will be tenable on a fixed term basis until
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empower students with a tailored learning experience, combining flexibility and cutting-edge digital tools to meet their goals and aspirations. The Department of Computer Science is leading the way in
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for crafting simulation-ready computational anatomy models, incorporating tissue microstructure properties. This is an exciting opportunity to apply your expertise to large-scale real-world datasets, including