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development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected to have strong quantitative skills and experience of working with
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Lead research projects focused on understanding and redesigning enzymes using a combination of structural and computational approaches. Deliver high-quality structural biology, applying advanced methods
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candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
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: Health Technology Assessment (HTA) methods and processes, including NICE health technology appraisals Statistical / specialist software (e.g. STATA, RevMan, Rayyan, winbugs) Health economic evaluation and
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interactions is a plus. You can also demonstrate your competence in HCI methods including: user study methodologies, experimental design work, ranging from in-lab to in-the-wild deployments, and qualitative and