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-disciplinary across statistics, operations research, and computing. Knowledge of basic statistics is essential along with some experience in statistical computing or programming (preferably in R). Skills
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all, the traditional statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental
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and application of statistics for data analysis. Experience of using qualitative and quantitative research methods will be vital. To apply, please send a CV, a cover letter summarising your research
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This is a 3.5 year PhD studentship that will focus on advancing the nonlinear dynamics and statistical rigour of and methodologies for early warnings for tipping points in nonautonomous systems
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Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics (HES). Data from these and other sources on healthcare resource use, costs, and effectiveness measures including clinical and PROMs
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statistical and/or analytical software packages (e.g., SPSS, R, Tableau, Power BI, etc). How to apply Interested applicants should contact Dr. Stefan Birkett (s.birkett@mmu.ac.uk ) for an informal discussion
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. These analyses will be conducted using nationally representative databases; the Clinical Practice Research Datalink (CPRD) and Hospital Episodes Statistics (HES). The second part of the PhD project will involve
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presentations) Experience of using statistical and/or analytical software packages (e.g., SPSS, R, Tableau, Power BI, etc). How to apply Interested applicants should contact Dr. Stefan Birkett (s.birkett
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in a relevant discipline, such as medical statistics, and practical experience applying research skills to deliver high-quality outputs within specified timelines. A PhD, or ongoing PhD studies, in a
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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