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with clinical trial elements across the lifecycle and/or with direct trial coordination experience within large scale clinical trial projects. The post will directly support and lead the management
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conducting a comprehensive literature review on existing knowledge and understanding relating to vacuum arcs, leading the establishment of a mathematic model for metal vapour arcs burning in vacuum background
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also offer some opportunities to actively contribute to research design, data analysis, presentations, and public engagement outputs. To support professional growth, the Research Assistant will receive
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. Working across modelling and observational-experimental disciplines is a key component of how we do our research. You will also be part of the Department of Earth Oceans and Ecological Science, and wider
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high quality human sample processing, storage and analysis services for University of Liverpool researchers as well as external collaborators and service users. You will report to the Senior Biobank
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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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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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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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statistics or economics, with experience in epidemiological analysis, statistical programming (e.g. R ) . The post is available for up to 26 months, full-time, with hybrid working from our Liverpool campus
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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