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of peripheral biomarkers with experience covering pre-clinical models and translational and clinical projects. The post-holder will work closely with clinical teams and translational scientists andwill be
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more novel problems. Keywords include: automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse
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well as the wider project team. You will be based in the Division of Population Health, Health Services Research and Primary Care, in the Faculty of Biology, Medicine and Health. The role allows a mix of office-based
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In this project we seek a motivated individual, with extensive mass spectrometry experience, who wants to develop a new instrument and apply it to the study of MDa. protein assemblies. You will be