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programming skills (C++, R, Python, or similar). Experience working with large or longitudinal datasets. The ability to translate complex model outputs into actionable policy insights. Curiosity, independence
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languages (e.g. R, Stata). Ability to offer guidance to researchers in shaping the statistical aspects of designing research studies (e.g. power calculations). Experience collaborating effectively with
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stress-strain characterization. Proficiency in analysis software (e.g., Microsoft Excel, R, or other statistical software). Excellent written and verbal communication skills. Ability to work independently
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accepted. Closing Date: 21 Nov 2025 Category: Research and Teaching (R&T) Where to apply Website https://academicpositions.com/ad/university-of-nottingham/2025/research-fellow-… Requirements Research
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informal enquiries can be sent to Dr Bethany Jackson at bethany.jackson1@nottingham.ac.uk Closing Date: 10 Nov 2025 Category: Research and Teaching (R&T) Where to apply Website https://academicpositions.com
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, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly clinics, trial support, and active contribution to academic
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly
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of high-efficiency, compact, and reliable solutions. Candidates with relevant R&D work experience will be considered. The project supervisor will provide on-the-job training on simulation tools. Key
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statistical modelling (including both theoretical and computational aspects) and use of statistical software (e.g. R - including programming). Excellent communication and organisational skills. The ability