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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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, involved in study set up, trial management, and data analysis. The data analysis component will be primarily of genomic data. The purpose of this post is to identify and investigate genotype-phenotype
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appropriate clinical knowledge in oncology and histopathology. You will be innovative, with high standards of accuracy and analysis. For all our roles we are searching for those who will be passionate about
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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reviewing, and quantitative and qualitative data analysis. The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic. The post-holder should have an in-depth knowledge
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for assessing comparative effectiveness is essential. Experience in cost-effectiveness analysis is desirable. The post is full-time 35 hours per week, 1.0 FTE (although part-time hours 0.5 - 1.0 FTE will be