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diseases, immune-modifying treatments and dementia risk using linked electronic health records. The post offers an excellent opportunity to design and conduct studies involving analysis of large-scale health
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advised to consult the Early Career Fellowships Guidance for Applicants 2026 for more information about career break and COVID disruption eligibility. Applicants are encouraged to consider how and why
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for analysis of routinely collected healthcare data. They will have experience in designing and implementing economic evaluation models, including decision-analytic modelling, and good knowledge
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
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set-up, and data collection and analysis. Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). Have experience
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developing ideas for application of research outcomes. This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. - To take
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technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home Applications are invited for a Research Fellow
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writing. Specifically, the post holders will contribute to analyses involving bio samples and/or Natsal data linked to routinely collected administrative data. The post holders will work closely with
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industry stakeholders and will be responsible for research on distributed query processing and information retrieval for text and RDF files. Experience in Linked Data and Semantic Web technologies is
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intellectual disabilities and severe mental illness. The post will mainly involve supporting public and patient involvement and engagement, qualitative data collection and preliminary data analysis. The role is