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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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birth research Holds a current Home office personal licence Experience in using statistical tools for bioinformatic analyses Downloading a copy of our Job Description Full details of the role and the
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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
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or bioinformatics and a keen interest in cancer biology. Extensive and demonstrated experience in scRNA-seq, spatial transcriptomics, with image analysis experience an advantage. A proven publication
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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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and organoids), and interpreted alongside clinical covariates of patients. In particular, we are interested in the application and development of bioinformatics methods to help understand the molecular
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sitting within a leading 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
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-motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication