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About us The Faculty The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in
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, mathematics, chemistry, informatics, engineering and natural sciences. This role presents an exciting opportunity to be part of the research operations team that a wide-ranging research funding portfolio
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associate with expertise in data science to join the King’s BHF Centre of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key
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, Bayesian Statistics with a focus on nonparametric methods, Bayesian Computational Methods, Extreme Value Theory, Biostatistics, Probabilistic machine learning, Medical sciences and engineering applications
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About us: The Precision Health Informatics Data Lab, led by Professor Richard Dobson, is motivated towards enabling a “panoramic” view of patients that is precise, predictive, preventative and
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About us: The Precision Health Informatics Data Lab, led by Professor Richard Dobson, is motivated towards enabling a “panoromic” view of patients that is precise, predictive, preventative and
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for candidates to have the following skills and experience: Essential criteria An Undergraduate degree in a related area, including relevant training in research methods Experience of quantitative or qualitative
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About us: The Precision Health Informatics Data Lab, led by Professor Richard Dobson, is motivated towards enabling a “panoramic” view of patients that is precise, predictive, preventative and
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to projects as per the programme communications plan, ensuring successful change management outcomes, and leading, motivating, and directing staff assigned to projects. Additionally, they will act as a line
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experience: Essential criteria Highly numerate, as evidenced by: Qualifications in Mathematics at GCSE and A’ Level, or equivalent; or AAT Level 3, or equivalent; or appetite to start qualification Some