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We are seeking an applicant for a fully-funded ERC Research Assistant position with the opportunity to undertake PhD studies in statistical methodology and theory led by Professor Richard Samworth
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, and application of infection and drug assays. Statistical analysis and data visualisation. To identify, develop and apply a broad range of techniques to pursue the research objectives. To present
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Mathematics and Mathematical Statistics. This position is advertised in connection with the PI's ERC Starting Grant on 'Analytic number theory and higher order Fourier analysis'. A specific project will be
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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, biomedical sciences, or a related discipline. A relevant Master's degree is desirable but not essential. Experience in quantitative statistical methods is essential, and autism research experience would be
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language processing (NLP), large language models (LLMs), machine learning (ML), and data visualization. The candidate will leverage their expertise in AI, statistics, and programming to design, develop, and evaluate
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range (but not all) of these: *Carrying out / supporting quantitative research, for example: Bayesian statistics, programming in R, surveys, discrete choice experiments, and version control / Git