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), different sets of samples will be prepared to conduct microscopic and rheological characterisations. Afterwards, further samples will be prepared that will undergo various mechanical tests (e.g., viscoelastic
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the development of system software. Key questions include how LLMs can support programmers in writing complex logical code, generating high-quality tests, and optimizing performance. Moreover, when integrated with
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testing) to understand and tailor the physical and chemical interactions within these complex structures. Cranfield University is internationally renowned for its research into materials for extreme
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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
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portfolio of work related to prioritisation in cancer care using decision analytic modelling that incorporates constraints such as diagnostic testing capacity and staff availability. Responsibilities will
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portfolio of work related to prioritisation in cancer care using decision analytic modelling that incorporates constraints such as diagnostic testing capacity and staff availability. Responsibilities will
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, epigenomics and transcriptomics from these models alongside extensive human tumour collections. You will be PhD-qualified, or have submitted your PhD thesis for examination at the point of commencing this post
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, focus groups, surveys, ethnography, participatory mapping, and document analysis. To examine extreme weather event impact and management from the perspective of residents and stakeholders. The supervisory
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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using thermographic Non-Destructive Testing (NDT), a critical method for ensuring aircraft safety and reliability. NDT is increasingly vital in the aviation sector, enabling the detection of hidden