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. The post is based at the Ule Regulatory RNA Networks lab at UKDRI Centre at King’s. The lab consists of 8 researchers including PhD students and postdoctoral fellows. For more information, please see the
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Description' for further details on the role, responsibilities, and selection criteria, as well as further information about the university and how to apply (via the 'Apply' button above). This post is full
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scales, providing study information and assessing potential study participants, monitoring participant progress during the study, entering data into on-line systems, assisting with study awareness-raising
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scales, providing study information and assessing potential study participants, monitoring participant progress during the study, entering data into on-line systems, assisting with study awareness-raising
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wet and dry lab genome-wide Omics approaches and have excellent communication skills, including the ability to write text that can be published, present data at conferences, and represent the research
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the Lymphovascular Research group collaborating with computational, clinical and laboratory scientists. The post holder will support the group by analysing genomic data to identify and characterise genes underlying
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of healthy aging using cutting-edge single-cell and AI-based tools, and population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell data
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Researcher to explore the cellular and genomic determinants of healthy aging using cutting-edge single-cell and AI-based tools, and population cohort data. You will be an integral member of the Awadalla lab
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well as further information about the university and how to apply. This post is full time and fixed term for 30 months. Only applications received before midday 12:00 on Tuesday 21st April 2026 will be considered
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-to-phenotype models for human health at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data