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researcher to contribute to the advancement of patient-specific computational modelling of skin growth for applications in breast reconstruction. The successful candidate will lead the development of high
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for a highly motivated researcher to contribute to the advancement of patient-specific computational modelling of skin growth for applications in breast reconstruction. The successful candidate will lead
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motivated researcher to contribute to the advancement of patient-specific computational modelling of skin growth for applications in breast reconstruction. The successful candidate will lead the development
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that provides data-driven prediction model and an automated dynamic decision model. This is a research focused role, where you will conduct a specified programme of research supported by research
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School of Mathematics and Statistics is seeking to recruit a post-doctoral researcher with experience in statistical modelling, Bayesian methods and related computational skills. This is a temporary, 21