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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise own workload and
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R&D (6.8% of turnover in 2022) and material science expertise make it an ideal industrial partner. Candidate Profile We welcome applicants with a strong academic background (first or upper second
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MATLAB/Python/R etc Previous research experience with healthcare datasets or electronic health records English Language IELTS 6.5 Overall (with no individual component below 6.5) or Swansea University
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methods experience. Quantitative applicants are expected to have worked with large datasets or equivalent project experiences, and have programming skills such as R coding (preferable) and communication
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the context of computing Familiarity with research tools and methods, including statistics platforms like R and/or thematic analysis Knowledge of user-centred design and research methods involving human
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at LJMU is pleased to offer a Research Assistant role in the UK-South Korea Collaborative R&D project, AMOS (AI-powered industrial asset management and energy optimisations system) funded by Innovate UK
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, structural equation modelling, visualisation, preferably in R Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental
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and clinical data using bioinformatics software and methodologies (e.g. R/Bioconductor statistical environment) Previous specialist experience and in-depth specialist understanding of relevant
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Jules Taylor Pickard, Dr David D R Davies Expected Start date and location October 2025, based at Harper Adams University, Edgmond, Shropshire, UK. Funding The studentship covers the current Home Student
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experience of data science analytical packages and R or Python would be advantageous. Funding The project is funded by the UKHSA and Nottingham University Business School. As a UK public body, UKHSA can only