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in observational health data including electronic health records (e.g. Clinical Research Practice Datalink) and genetic data (e.g. UK Biobank) linked to health data to inform the better use
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machine learning approaches to investigate the mechanisms underlying GC-biased gene conversion and understand how meiotic recombination shapes human genetic variation and genome evolution. Working closely
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explores genetic causes of neurological disorders and aim to develop therapies for these conditions with a high complementary approach, ranging from stem cell modelling to functional genomic. Information
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expertise in bacterial genetics, ‘omics approaches and in vivo models. You will determine how sphingolipid expression is regulated within the host, and how these membrane components impact on colonisation
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analysis and preparation of papers for publication. Most of the work in the project is expected to be computer-based, with the focus on evolutionary genetic analyses of genome and transcriptome sequence data
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focused on developing innovative genetic therapies for rare genetic diseases. You will join a newly established, translational and multidisciplinary research programme led by Dr. Marlen Lauffer, and become
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across the Centre for Human Genetics and the Mathematical Institute, you will collaborate with leading mathematicians, computational biologists, experimental scientists and clinicians to develop innovative
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The Borkar lab focusses on high-resolution investigation of RNA mediated disease pathologies during viral infection and rare genetic disorders. We are looking for an experienced postdoctoral
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of application, in molecular biology, genetics, epigenetics, chromatin biology or a related discipline. You will have research experience in chromatin biology, transcription or gene regulation
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pathways for complex glycan metabolism using a combination of biochemical, genetic, spectroscopic and structural biology approaches Performing bacterial genetic manipulation, protein expression and