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carrying out statistical analysis. Please visit Work at UCL for further information. About you The candidate must have a PhD or equivalent working experience in epidemiology, global health, statistics
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in political science, economics, finance, statistics, data science, public policy or in a related discipline. You should be able to demonstrate an excellent knowledge of R and Python programming and
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Assisting with responding to time-sensitive and relevant issues that are at the forefront in the media and conduct basic statistical analyses quickly to inform a Centre/programme response Preparing and
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)) models are used at all stages of pre-clinical and clinical development, but they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a
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and collaboration. Duties and responsibilities This is an exciting opportunity to conduct ambitious research at the interface of information theory, statistical machine learning and robotics
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. This position is based in the Centre for Data Science, Statistics and Probability. Other Centres include the Centre for Combinatorics, Algebra & Number Theory, the Centre for Geometry, Analysis and Gravitation
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required to create and develop a range of reports and will also support the preparation and submission of the institute’s reports to external agencies, such as the Higher Education Statistics Agency (HESA
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teaching and supervising graduate students, as well as the ability and flexibility to teach across a range of topics in probability theory and its applications and mathematics and statistics in general at
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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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degree, ideally a doctoral degree in mathematical modelling, statistics, epidemiology or another relevant discipline with a strong quantitative component. Candidates should also demonstrate experience in