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translational datasets across seven interconnected work packages. The post holder will work under the leadership of Programme Lead, Dr Sheeba Irshad, and in close collaboration with bioinformatics teams
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, travel for conferences and presentations, as well as contribute to academic publications. The post holder is expected to hold a PhD degree in Bioinformatics, Computer Science or other relevant discipline
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techniques for antigen and antibody detection. A good understanding of bioinformatic and biostatistical approaches to data analysis and of TCR and antibody characterisation to be used for T cell engineering
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programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre for Translational Informatics
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also provide support to bioinformatic analyses and data management. The successful candidate should have experience with analysing genomic data, be willing to work as part of a team and to be open-minded
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of bioinformatics tools for RNA sequencing data analysis. Previous and experience with RNA sequencing, including sample preparation. Downloading a copy of our Job Description Full details of the role and the skills
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a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral
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: PhD (or equivalent) in a relevant field (e.g., bioinformatics, computational biology, molecular biology, cell biology, biochemistry, developmental biology, genetics), or in the final stages
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form): Essential: PhD (or equivalent) in a relevant field (e.g., bioinformatics, computational biology, molecular biology, cell biology, biochemistry, developmental biology, genetics) Previous work
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form): Essential: PhD (or equivalent experience) in a relevant field (e.g., bioinformatics, computational biology, molecular biology, cell biology, biochemistry, developmental biology, genetics) Previous