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of linear wave equations and boundary element techniques as well as their high-frequency approximations. Furthermore, the candidate will be expected to extend the existing code in order to apply the developed
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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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an ingestible pill sensor for early detection and diagnosis of metal disorders. This EPSRC funded post is available immediately. The successful applicant will support the translation of an AI-enhanced capsule
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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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yeast and fungi for food ingredient and biochemical production. The specific goals are: Metabolic engineering of Yarrowia and Candida yeasts for organic acid production Design and optimization
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an element for clinical training or NHS service work, any such clinical work must be arranged to avoid impacting substantially on research time. Funding Sources The post will be funded as part of research
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, involved in study set up, trial management, and data analysis. The data analysis component will be primarily of genomic data. The purpose of this post is to identify and investigate genotype-phenotype
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. Application Process Please apply online, demonstrating how you meet the essential criteria outlined in the knowledge, qualifications, training, and experience elements of the job description in your supporting
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is committed to equality, diversity and inclusion Equality, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our