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, analysing and interpreting complex experiments spanning bulk and single-cell RNA sequencing of resident islet immune populations, macrophage functional assays (innate sensing, phagocytosis, antigen
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culture, cytokine and protein analysis (Luminex/ELISA), qPCR, and bioinformatic analysis of bulk and single‑cell RNA‑sequencing and/or CyTOF datasets. You will be expected to analyse and interpret complex
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efficiently, prioritise, meet targets and deadlines, and keep clear and well-organised laboratory notes and records. Desirable criteria Experience of wet lab workflows for bulk and single cell RNA sequencing
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, next generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics at University of Nottingham. The role will include big data mining via
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, and ensure alignment with institutional priorities and the Careers & Employability Strategy. This is a rewarding opportunity to implement employability strategy while making a tangible impact on
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high quality, impactful activities to address educational disadvantage. Main responsibilities: Oversee a range of widening participation programmes and projects aligned with the King’s Access
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impact of your work. You should also outline how your proposed research aligns with the activities of the Bezos Centre for Sustainable Protein, as well as your plans for securing external funding and
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to University policies regarding cyber security, data protection, and acceptable use. By collaborating with central University IT teams, you will ensure that departmental practices remain aligned with broader
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, ensuring it is academically rigorous, pedagogically robust, and aligned with progression to undergraduate study in a range of business-related disciplines. The module attracts a diverse international cohort
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an externally funded programme that enhances the Institute’s contribution to and academic alignment with School, Faculty and King’s research ambitions. The successful candidate will publish high‑quality peer