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this core-funded role you will lead the development of pipelines and tools for the analysis of data from cutting-edge single cell and spatial genomics platforms such as the 10x Chromium and Nanostring CosMx
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, taking a lead role in the analysis of large microbiome datasets (e.g. NGS, metabolomics), and their integration with host genetic and multi-omic data (e.g. genotyping, whole-genome sequencing and single
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gene expression. The project will apply a wide variety of bioinformatic and statistical techniques to bulk and single nuclei functional genomic data generated by our teams (e.g., ChIP-seq, RNA-seq, ATAC
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this core-funded role you will lead the development of pipelines and tools for the analysis of data from cutting-edge single cell and spatial genomics platforms such as the 10x Chromium and Nanostring CosMx
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); Research experience in UNIX/Linux-based bioinformatics with emphasis on analysing whole-genome sequencing data from pathogens (e.g., experience in the calling of single-nucleotide variants, and the
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We are seeking a computational-statistical postdoctoral researcher to join our lab at the Kennedy Institute of Rheumatology, University of Oxford. Our lab focuses on developing statistical methods
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, behaviour and cell biology based at Exeter, King’s College London and the University of Michigan. The post will include the analysis of key processes in development of the neocortex, including anterior
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to analyze high throughput short (Illumina) or long read sequencing (Oxford nanopore, PacBio) data. This can include bulk and/or single cell sequencing data. Integrates genetic and epigenetic changes in cancer
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is not supported by University of Glasgow Scholarship/Funding BBSRC Doctoral Training Partnerships External funding information Support Support Resources We offer a wide range of cutting-edge research
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analysis, and machine learning. The successful candidate will join the dynamic and collaborative research environment of the CRUK Beatson Institute, working with a diverse multidisciplinary team of computer