21 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "OSU" Postdoctoral positions at University of Liverpool
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in observational health data including electronic health records (e.g. Clinical Research Practice Datalink) and genetic data (e.g. UK Biobank) linked to health data to inform the better use
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Hours of work: Full-time Tenure: Fixed term available from 01.01.27 - 01.01.29 The Department of History ( https://www.liverpool.ac.uk/history/ ) seeks to recruit a Postdoctoral Research Associate
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for PDRA to join the DQBF project: https://github.com/Sat-DQBF . The candidate will work on the development of DQBF solvers. The last few decades have seen tremendous progress in the development of SAT
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Medicine, City St George’s (University of London). The post will involve leading recruitment of businesses, delivery of the trial, collecting and analysing data, management of research staff. For related
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data collection and logging across the electrolyser, generating a rich dataset linking device design and operating conditions to performance. Working with partners at the University of Liverpool, you
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of language would be a major advantage. You will work closely with an experimental postdoc, so an interest in linking modelling and empirical data is important. This post is fixed term for 2 years. This is a
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information about the job and the person specification are available in the job description. Given the multidisciplinary nature of the project we welcome applications from candidates who hold a PhD (or expect
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researchers with: Experience of data collection, management, and statistical/epidemiological analysis. Proven interest in food-producing animals and factors impacting their performance Experience in analysis
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models) to extract and compare outcomes reported across clinical trial registries, protocols and publications. Working with computer scientists, statisticians, trial methodologists, outcomes researchers
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investigating the microbiological and immunological basis of noma. You will lead defined components of the bioinformatic analysis of shotgun metagenomic sequence data generated from oral samples collected from