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. The post holder will contribute to the analysis of genetic data from genotyping arrays and exome sequencing to help study key questions on clinical outcomes for patients with JIA. The candidate will lead the
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, OOMMF or similar) Has experience of research in spintronics, magnetic materials and/or devices Exhibits data analysis skills and familiarity with standard scientific programs (e.g. Matlab, Origin
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analytical, creative and pragmatic problem-solving skills. Has the ability to use reporting systems to produce data sets and packs which can inform analysis and insights. Can use excel and PowerPoint
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expression analysis with RT-qPCR. Candidates will ideally have experience of working with laboratory rodents, as well as in vitro/in vivo epilepsy models and rodent behavioural assays. Candidates with
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applicant will independently lead laboratory work, including genomic, molecular, and cell biology experiments. Experience in variant characterisation, RNA analysis, or functional assays (e.g. splicing
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in the analysis of complex healthcare problems. Of particular interest would around the appraisal and evaluation of healthcare technologies and data science approaches. This work is key to the Division
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people discussions, including summary analysis and narrative from the data, highlighting key issues, trends or opportunities. To co-ordinate employee lifecycle processes, including Academic Promotions
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advanced biostatistical techniques including multilevel logistic regression and survival analysis. Experience with cancer-related research and patient & public involvement (PPI) in health research is highly
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range of research activities in the field of mRNA processing including the analysis of alternative splicing and polyadenylation as well as mRNA methylation using a Drosophila genetic model. The post
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deeper understanding of the therapies across various tumour types. The role also involves the analysis of multiomic endpoints to identify biomarkers of radioresistance, supporting the development