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mathematical skills in probability and statistics. Good knowledge of current state-of-the-art in safe AI and frontier AI systems, as well as experience supporting junior researchers and managing projects is
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and/or EU market context. The successful applicant must have strong quantitative, statistical, and analytical skills. Demonstrated knowledge of Python and Machine Learning techniques will be
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statistics and will have a background in psychology or a related discipline. They will be supervised by Dr Sam Farley, Dr Nicola Thomas, and Professor Jeremy Dawson from the Institute of Work Psychology
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supervising postgraduate research students. You should have a Masters and PhD, or equivalent work experience, in a relevant numerate subject, for example, mathematics, operational research, statistics
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, mathematics, or statistics. - Must have completed, or on the way to completing, a master’s degree at merit or distinction (or a non-UK equivalent) in a relevant subject How to apply: Please complete a
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science, artificial intelligence (AI) including machine learning, and statistics, and ideally experience in the application of data science and AI to medical datasets. You will be expected to manage and
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and a PhD (or be close to completing one) in pharmacoepidemiology, epidemiology, statistics, big data analytics, or a related field. Successful applicants will be expected to contribute to teaching
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a statistical modeller with an interest in climate
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they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a laborious task where highly qualified staff spend large amounts of time. Aims
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Education environment and of HESA-related data. In particular, experience in producing, interpreting, and reporting statistical data and working with complex data sets. Informal enquiries can be made to Jason