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motivated and methodologically-focussed researcher with excellent statistical and computational skills to contribute cutting-edge methods development in a clinically relevant research area with strong
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One PhD studentship is available in the area of machine learning theory (statistical learning theory and deep learning theory) or theoretical-oriented topics, e.g., trustworthy machine learning
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serve both as high-dimensional generalisations for well-known phenomena in random graphs and stochastic geometry, and as means to develop insight into statistical and computational challenges in
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, and (3) undertake statistical and time series analysis to explore the latitudinal propagation of climate signals. The post holder will have the opportunity, subject to starting date and travel
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to continue to expand its research profile as well as its study programmes across UG and PGT. This position is based in the Centre for Data Science, Statistics and Probability. Other Centres include the Centre
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integration, conducting focus groups, statistical analysis and spatial modelling of surveys, and delivering impactful outputs for academic and practitioner audiences. For full details of the project plans, role
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to monitor the assigned subjects including teaching, results and other statistics and manage the production of, and write content for, reports, presentations and papers for periodic subject review meetings
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academic writing, study skills, mathematics and statistics. Within the Academic Skills service transition initiatives, such as Peer Assisted Learning, play a vital role. The strategic expansion of PAL across
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of handling laboratory animals is required as this will be optional. Good IT skills with Word, PowerPoint and Excel are essential and some knowledge of statistics is desirable. How to apply Interested
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of systematic reviews and meta-analysis You have excellent critical appraisal skills You have knowledge of basic concepts in medical statistics You have the ability to organise your own time and work, manage