52 parallel-and-distributed-computing-phd positions at University of Leeds in United Kingdom
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4ward North Introduction The Wellcome 4ward North Clinical PhD programme launched in October 2016 catalyses our ambition to transform doctoral clinical academic training in northern England by
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(s) & email address(s) Professor Alison Heppenstall, A.J.Heppenstall@leeds.ac.uk Project summary One full PhD scholarship is available in the School of Geography in 2025/26. This scholarship is open to
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) course targets mature students returning to study. Following the retirement of our previous role holder, we are looking for a full time Programme Leader to take up a one-year secondment to run and review
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the University in the implementation and delivery of a transformational change programme through providing specialist PMO services. As part of the Portfolio Office, you will be embedded in a Programme to implement
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, and innovation in data science. Lead with purpose, inspire future data science leaders, and shape a nationally recognised programme driving real-world impact. We are particularly seeking female and
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patients with aortic stenosis pre- and post-surgery. The post-holder will have a background in engineering, computing and / or image data analysis or equivalent and will be based in Leeds to support advanced
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to work collaboratively with the Health and Care Specialty Programme Leads and Specialty Team members supporting an ambitious programme of work aimed at delivering the organisation objectives. This role
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large interdisciplinary team of other PDRAs, PhDs and academic staff, and will collaborate closely with others in the University and elsewhere. You will work to address the challenges of climate change
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You will contribute to a programme of research, funded by the Horne Family Charitable Trust, which aims to increase the evidence base on Domestic Violence and Abuse (DVA) experiences of people with
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is aimed at technical innovations in computer vision and computer graphics (segmentation, registration, tracking and visualisation) to enable real-time interaction for surgical planning and decision