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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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for both ligands and novel coordination clusters under a range of conditions. Candidates must also be able to work well independently but also as part of a large team, regularly reporting on progress
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targets, by leveraging high-dimensional big data (e.g. electronic health records, multi-omics and phenotypic) from large prospective biobanks including China Kadoorie Biobank (CKB) and UK Biobank (UKB), and
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applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis, including Mendelian randomisation and genetic co
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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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of Epidermolysis Bullosa (EB), with a focus on developing personalised medicine. This role offers the chance to dive into big data, integrating single-cell RNA sequencing and spatial proteomics using the latest
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research, based on the data acquired during the zero-power reactor project to deliver a much wider body of work in the social science area to support iMAGINE and the mid-term review of the Chair position
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development and has recently made a large expansion forward in cardiovascular research. About You The successful candidate should hold a postgraduate degree (or close to completion*) and/or relevant
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[or recently submitted or near completion] PhD in subject specialism or equivalent. Skills Essential: C1. Molecular biology and molecular genetics skills. C2. Bioinformatic and data analysis/interpretation
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together with relevant experience; have expertise and experience in survey design, quantitative research methods, and advanced statistical analysis; experience in managing large-scale data collection