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Field
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studies the mechanisms by which chronic viral infections suppress antiviral immunity and drive T cell exhaustion to facilitate viral persistence. We also have a major interest in how chronic viral
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adipose tissue organoids incorporating stromal, endothelial, and immune cell populations Perform in‑depth molecular, phenotypic and metabolic characterisation of adipose models Investigate inflammatory and
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an emphasis on technology, data science and the humanities. Primary Care and Family Medicine is a Programme within Population & Global Health. The key objective is to support efforts to advance high-quality
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genetic variation, including the biology and evolution of mutation, the effect of variation on molecular function and structure, population genetics as a lens on evolution, and the maintenance and allelic
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greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral data. The work will incorporate comparative evolutionary biology using extant plants populations and Herbaria
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heating kinetics and the rolls of individual ion populations. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to complement your education and support your academic and
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Faculty of Population Health Sciences. The UCL Institute of Health Informatics (IHI) was established in August 2014 within the Faculty of Population Health Sciences. Our mission is to conduct high-quality
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. The reference for the application, Ref.: Agrobio_483_PSE, must be included in the subject line of the email, otherwise, the application will not be considered. Website for additional job details https
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%:50%) position as RESEARCH FELLOW (UNIVERSITY RESEARCHER) IN AI FOR POPULATION HEALTH AND GENOMICS for a fixed-term appointment of maximum 4 years. The starting date is as agreed, ideally between
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, preferably from population cohort studies. Familiarity with biological ageing markers (epigenetic clocks, allostatic load, telomere length) is an asset. Experience with omics data integration (epigenomics