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an interdisciplinary team of researchers as well as the Centre’s academic and community partners. Additionally, you will collaborate with researchers in the Centre’s Cross-Centre Hub on Data Resources to investigate
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biochemical manipulation of RNA species, coupled with solid data interpretation skills Demonstrated lab management and leadership experience, such as overseeing consumables procurement, organising safety
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interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
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About us: We are seeking an enthusiastic postdoctoral researcher with a PhD in genetics, statistics, epidemiology, data science, or related quantitative field to work on a our Wellcome-funded
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interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
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candidate will be responsible for the merging of new laboratory data with existing data from the Avon Longitudinal Study of Parents and Children (ALSPAC), analysing exposure-health associations and writing up
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of routinely collected electronic health data to improve healthcare delivery to people with a learning disability and autistic people. This involves using multiple linked data sources of primary, secondary, and
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according to published clinical standards, and evaluate/ interpret data outputs. The main analytes will be elexacaftor, ivacaftor and tezacaftor (“Kaftrio”) alongside their stable-isotope internal standards
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, and what intervention has the prospect of get them to a better position. A model is needed into which to feed critical information and retrieve cause/effect insights on which to base logical decisions
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this qualitative data, as part of an international team with the four other post-docs plus other researchers, as well as to do other tasks related to the project (inc. supporting coproduction, other work packages