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, biochemical, cell biological, and CRISPR/Cas9 tools combined with bioinformatic analyses, to understand HUSH activity. The work will be undertaken in the Cambridge Institute of Therapeutic Immunology and
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, metabolomics, and bioinformatics. The successful candidate will hold (or be close to obtaining) a PhD in plant molecular biology and genetics (or closely related discipline). Prior experience with AM symbiosis
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culture, RNA extraction and purification, histology, microscopy or bioinformatic analysis would be beneficial but are not strictly required. The successful candidate should show initiative and independent
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within the R environment. Additional duties will include providing ad hoc bioinformatics support and advice for researchers within the group. Applicants will be expected to work closely and interactively
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intelligence (AI) models with experimental assays to unveil the roles of the newly discovered non-canonical proteome in the cellular physiology of GPCRs. This interdisciplinary project links AI, bioinformatics
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. Applicants must have a solid background in plant genetics; available knowledge in basic bioinformatics, would be advantageous. Appointment at Research Associate level is dependent on having a PhD. Those who
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areas: i. Computational Tissue Modelling ii. Bioinformatics iii. Computational Image Analysis Roles are based in the Jeffrey Cheah Biomedical Centre located on the Cambridge Biomedical Campus. Post