644 parallel-and-distributed-computing-phd-"Meta"-"Meta" PhD positions in United Kingdom
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Application deadline: 31/01/2026 Research theme: Inorganic Chemistry UK only This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled status. The successful
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the microbiome. We therefore hypothesise that myeloma treatment–induced alterations to the gut microbiome directly impact immune function and increase susceptibility to infection. Research Methodology This PhD
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This is a fully funded, 3-year PhD studentship Fees and Bench fees: The studentship covers bench fees, stipend, and tuition fees. Visa and associated costs are not funded. Start Date: January 2026
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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provide powerful tools to improve the quality and efficiency of data-driven models. In parallel to the development of data-driven models for dynamical systems with geometric structures such as Hamiltonian
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pathways, whilst their omission can introduce significant systematic biases in parameter estimation, detection pipelines, and tests of fundamental physics. In this PhD project, you will develop a
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will have the difference between the UK and International tuition fees provided by the University. How to Apply: All applications should be made via the 'Apply' button above. Under programme name, select
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enable by two-photon polymerisation 3D printing rationalizes the use of the powerful topological optimisation. The PhD candidate should have completed (or about to complete) their undergraduate degree in
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the computational and experimental methods will be provided in the projects, although relevant previous experience would be advantageous. Applications for this PhD project should be submitted via the University
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their research findings. Training in all the computational and experimental methods will be provided in the project, although relevant previous experience would be advantageous. Applications for this PhD project