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, and edge computing, AASs are evolving into smart, interconnected solutions for addressing the dynamic challenges of modern cities. This project investigates how to coordinate these multifunctional
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. The standard minimum entry requirement is 2:1 in Computing science or related fields. Mode of Study Full-time Start Date 1 October 2026 Funding Information: This PhD project is in a competition for a Faculty of
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on such jets — although their detailed properties remain unexplored. In this project, we will develop new computational methods to compute and characterize these novel wave solutions, with particular emphasis
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-Markovianity. For sufficiently Markovian systems, the photon-photon correlations can be computed using the quantum regression theorem together with a Lindblad equation for atomic ensembles or a HEOM model of a
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Project Supervisor - Professor Rudy Lapeer The Birth4Cast “Digital Twin” aims to create a subject-specific computational biomechanics simulator of childbirth from prenatal fetal MRI scans
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of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural
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chemistry at the chemistry/biology interface. This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK applicants and comprises ‘home’ tuition fees and an
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, optimising plant nutrition, while promoting long-term agricultural sustainability. To achieve this, the student will be part of an enthusiastic and collegial team within a vibrant international and scientific
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Primary Supervisor - Prof Kate Kemsley Scientific Background Deforestation is a major global issue, destroying biodiversity and accelerating climate change by removing vital carbon sinks. The newly
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, which will be invaluable for scientific career progression. The appointee will be supervised by Prof Paul Crichton (Norwich Medical School) at the Biomedical Research Centre, and Prof Tom Clarke (School