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Field
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skills Biomedical Data Science UG degree: List A List B Introduction to Medical Ethics Python language programming Probability theory, statistics and Bayesian analysis Artificial intelligence in Medicine
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/AI: Apply data-driven methods to construct reduced-order models that bridge analytical theory & high-fidelity simulation data, enabling rapid drag prediction across surface parameter spaces
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on cutting edge research linking data science with the problem of AMR. The chance to be part of a diverse, cross-disciplinary team with a strong track record in supporting career progression within the field
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-system synthesis, asking whether the topological and information-theoretic features that predict coordination in one system transfer to another — a foundational question for complex systems science. The
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benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a
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development, and outdoor learning is highly desirable. Familiarity with programming and data analysis tools is also preferable as the PhD will involve some advanced quantitative data analysis, although support
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candidate to join an interdisciplinary research project at the intersection of electromagnetism, solidification science, transport phenomena, and computational materials science. The successful candidate will
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Stipend: circa £22,780 per annum + UK fees Duration of Studentship: 4 years Start date: May 2026 (or as soon as possible thereafter) Vacancy information The Department of Chemical Engineering at
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skills and experience: Essential criteria Undergraduate degree (at least second class honours) in relevant bio/health-related or computer-science subject Previous experience working with neuroimaging data
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outdoor learning is highly desirable. Familiarity with programming and data analysis tools is also preferable as the PhD will involve some advanced quantitative data analysis, although support will be given