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, confirmatory factor analysis) Ability to assess resource requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute
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disease control. A key component relates to harnessing advanced mechanistic disease transmission models to improve prediction of clinical trial outcomes (e.g. doi: 10.1038/s41467-024-53065-z). Given
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responsible for the entire project from polymer synthesis, crystallisation-driven self-assembly, characterising data collection interpretation. Training will be provided in all of the component techniques but
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in metal additive manufacturing using laser powder bed fusion and/or electron beam melting and/or powder processes, such as hot isostatic pressing, cold compaction. CAD experience (preferably
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values diversity acting as a role model and fostering an inclusive working culture Person Specification A First degree with strong quantitative and informatics component e.g. biological, biomedical
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electrochemistry and flow in a range of systems, including multivalent metal ion batteries, redox flow batteries, electrodialysis and capacitive deionisation. This project is highly interdisciplinary and
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the NIHR Research for Patient Benefit programme, with the aim of developing and refining a multi-component behaviour change intervention for reducing delay and increasing identification of work-related