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work on the PANGEA-HIV project, analysing viral sequence data to assess how effective broadly neutralising antibodies may be against current HIV strains in Southern Africa. Second, you'll support early
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expertise in organoid models of neurodevelopment to join our team and be involved in a MRC funded project aimed at generating region-specific brain organoids and assembloids from multiple gene-edited human
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employ a broad range of experimental approaches, spanning plant molecular biology and high-throughput sequencing technologies. The successful applicant will be expected to lead independent research aligned
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employ a broad range of experimental approaches, spanning plant molecular biology and high-throughput sequencing technologies. The successful applicant will be expected to lead independent research aligned
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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contribute to the study and sequencing design, collaborate with experimental biologists to validate the hypotheses, and advise and supervise computational staff and students. You will write research articles
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. Experience in human embryology and cell biology methods, including next generation sequencing is essential. The successful candidate will be highly motivated and enthusiastic with an outstanding academic track
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will be the analysis of virus sequence data generated through our surveillance activities. Surveillance will be based on next-generation sequencing of viral RNA/DNA extracted from wastewater samples. We
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hundreds of samples from multiple independent marine transmissible cancer clones. The role provides an exciting opportunity to combine single-cell cancer genomics with molecular cytogenetics and statistical
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will be involved in processing and analysing tissue collected from patients undergoing surgery, using whole genome sequencing, transcriptomics and proteomics. You will be heavily involved in designing