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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and correlating findings with analysis of patient material. You will
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
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. The applicant should be well versed in structured programming, in the maintenance of numerical codes and in the training of new users, such as graduate students. A proven track record of collaborative
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme, focused on understanding and preventing disease progression in
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. Advanced (statistical) data analysis (including meta-analysis and longitudinal analysis) and programming skills Ability to write complex reports and/or scientific publications, demonstrated through emergent
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) data analysis (including e.g., normative modelling, clustering/subgrouping, longitudinal, multivariate approaches) and programming skills Ability to write complex reports and/or scientific publications
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assessing sustainable routes for large-scale removal of greenhouse gases from the atmosphere. As well as interact with others in this programme within the duration of the post, and the results of the PDRA
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based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience
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largest protein/peptide mimotope dataset foundational for advancing any peptide-based drug discovery programme. The ERC PoC PepVerse project focuses on increasing the technology readiness of this platform