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We are seeking to appoint a highly motivated Postdoctoral Researcher to join the research group of Professor Ignacio Melero, MD PhD, at the Oxford Centre for Immuno-Oncology within the Nuffield
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We have an exciting opportunity for a Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer to join the multidisciplinary GO-PRECISE colorectal precancer
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methods relevant for drug discovery analysis pipelines, trial design and operational efficiency. Other responsibilities will include helping with supervision of PhD students working on projects as part of
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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms
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expected that the successful candidate will contribute to the computational analysis of multi-omic data that will be generated during the project. The candidate must hold or be near completion to a PhD/DPhil
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demonstrable experience, ability and practical success in end-to-end analysis of bulk, single-cell and/or spatial transcriptomic or proteomic datasets, including raw sequencing data processing, quality control
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opportunities for these diseases. The project will use a wide variety of data processing, data analysis, and statistical techniques to functional genomic data (ChIP-seq, RNA-seq, ATAC-seq, co-accessibility
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applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis, including Mendelian randomisation and genetic co
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of RNAseq data and in vivo modelling of cancer. In addition to leading your own research, you will provide guidance and support to junior members of the lab, including PhD and project students, research
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), based at the Centre for Human Genetics, University of Oxford. The post aims to assist with the preparation and molecular characterisation of tumours using multi-omic analysis focusing principally