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To undertake research on the evolution of prokaryotic pangenomes using machine learning and AI approaches. The work will involve the analysis of large prokaryotic genome datasets, the development
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data platform, Talend. This is a pivotal role within IT Data Services and key to delivering the data elements of the University¿s Digital Strategy. The ideal candidate is a technical specialist with
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research, statistics, mathematics, or a related field and some knowledge of HTA methods (such as cost-effectiveness analysis or decision modelling). Experience with NICE processes (such as TA or HealthTech
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will present information visually, verbally and in writing and be responsible for producing high quality business analysis outputs. You will specifically have expertise and skills in data analytics
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prison sites, recruitment and data collection, and complex data analysis. You should have a PhD (or near to completion) and an Undergraduate degree in psychology or a relevant discipline. You will have
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-analysis and qualitative evaluation. We are seeking a research fellow with experience in maternal health or obstetric research, conducting systematic reviews, and data collection including identifying
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bases, interventions and policies focused on sustainability and net zero transformations. By connecting sustainability with justice, research with action, and constituent knowledge producers and community
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qualitative or quantitative research including data collection and data analysis; work experience in some aspect of clinical trials, be it design, conduct or analysis. The post is available fulltime for 2 years
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analysis needed for each of your projects. You will work collaboratively with project and programme managers to shape project or programme plans. You will sometimes manage projects yourself or co-ordinate
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An opportunity has arisen for the appointment of a trial statistician within the Liverpool Clinical Trials Centre. The purpose of this post is to support the conduct, analysis and reporting