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niche. You will be involved in designing, developing and implementing high-throughput bioinformatics and machine-learning solutions to analyse large-scale genomic and transcriptomic datasets (bulk and
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Genetics. These residential courses run over eleven months, with two terms of scheduled teaching and one term dedicated to hands-on laboratory or computer-based research. In the MSc in Clinical Embryology
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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will be responsible for leading detailed analysis of large genomic datasets, including data processing statistical analyses, interpretation and presentation. You will have a key role in developing novel
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MRC centre of research excellence in Therapeutic Genomics. You will be responsible for performing detailed analysis of large genomic datasets, including data processing, statistical analyses
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computational-bioinformatic approaches, as well as direct experience with laboratory molecular and cell biology techniques with respect to either cancer or immunology. You should have proven skills in working
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, Oxford, OX3 7DQ, and is offered on a full-time fixed-term basis for two years. An early start date would be preferable for this role. About you You will hold a postgraduate degree in a bioinformatics
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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of diseases in new ways. Within this role, you will be responsible for conducting processing and detailed analysis for the different Oxford-GSK IMCM projects, working on various ‘omics datasets, including
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the established database, web systems, and frameworks for high-throughput data processing and integration. The role will also involve utilising high-performance computing clusters, storage systems, databases, and