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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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Main Information: The University of Exeter’s Department of Biosciences is inviting applications for a PhD studentship funded by CEFAS and the Faculty of Health and Life Sciences to commence on 22
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Session 2025 - Closing Date 12 noon (UK time) 28th May 2025 Before applying, please visit the WRoCAH website for full project details and application information. Award provides fees and
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, climate sciences or related subject areas. Applications should be made via the above 'Apply' link. Further information can be obtained by emailing Dr Gregor Leckebusch (g.c.leckebusch@bham.ac.uk ). Funding
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; Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | 2 months ago
to commence in October 2025. Project Information Intersectionality theory describes the ways in which systems of discrimination/oppression are interdependent/interactive, producing inequalities that cannot be
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neuroimaging techniques. You will conduct both neuroimaging and neural network modelling studies to determine whether and how combining information across multiple sensory modalities (vision and touch) may
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analyses, mathematical modelling, or data analysis. But whatever the research approach, the goal would be to influence UK policy that increases protection of the UK population from current or future emerging
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automated rankings. The research includes real-world validation using university admissions data and will contribute to the broader fields of AI in education and ethical decision-making. This PhD research
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that facilitate seamless integration between AI hardware components and embedded systems, ensuring efficient data flow and processing. Cranfield University offers a distinctive research environment renowned for its
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their numerical implementations will be supported through high quality experimental data obtained at Manchester. Applicants should have, or expect to achieve 1st class honours degree or a master’s in