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Field
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Deadline: 30 June 2025 A fully funded four-year PhD position is available to work on the project titled “Real-world quantum verification and benchmarking of noisy hardware”. This position is a
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
datasets with industry-aligned performance metrics. The successful candidate will join the Centre for Digital and Design Engineering (CDDE), part of Cranfield’s Manufacturing, Materials and Design theme
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trial. Following completion of the PhD, the researcher should be in a position to design, set up and conduct independent research. This project builds on previous work completed in Nottingham in the field
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tackling climate change. One of the challenges of constructing a fusion power plant is how to fuel the fusion reaction. The vast majority of planned fusion power plants will use a deuterium-tritium fusion
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if this is the case. As this is the methodology used by government to assess and compare the energy and environmental performance of dwellings, the current rating disincentivises developers from specifying
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particles that may trigger early ignition. These phenomena can compromise engine safety, performance, and durability. In this project, you will explore how different oil formulations and engine parameters
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to rare disease trials. This PhD studentship is part of LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate rare disease trials. Students will receive training
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suggest hypotheses for therapeutic targeting. This PhD studentship is part of the LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate rare disease trials
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AI approaches have recently been used to detect Alzheimer’s disease from CFPs among those with established disease (in case-control studies), the use of such approaches to predict disease (i.e., in
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. The work will be hosted at Swansea University Medical School and is designed with strong patient and public involvement and aims to directly influence clinical practice through accessible tools and knowledge