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for an enthusiastic and highly motivated Research Associate or Research Assistant in Medical Statistics to join an interdisciplinary team focused on improving lives through world-class research in ageing, sarcopenia
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. Department The Student Data Management & Analysis (SDMA) team provides a portfolio of data, reporting and statistical
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collaborations across the University, and supervise research students. The successful applicant will also have the opportunity to conduct a small amount of teaching at the Department of Statistics in their areas
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primary analysis to apply bioinformatics solutions to biomedical problems. You will be responsible for carrying out data processing and integration, statistical analysis, presentation and interpretation
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applications). The BRG is a dynamic group of 33 applied and methodological biostatisticians who work together to develop and implement state-of-the-art statistical methods in health research. The role will be
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analysis (e.g. economics, statistics, mathematical modelling). They will also have completed an MSc in one of these areas. For the position of Research Assistant, applicants should have a Masters in Health
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algebra, algebraic groups, statistical mechanics, topological quantum field theory, topological quantum computing, algebraic computation, and geometric topology. For more information on the programme
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a strong work ethic. Responsibilities: Implementing all aspects of SRs and HTAs, e.g. protocol development, inclusion screening, data extraction, statistical analyses, and report writing. Contributing
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field, together with pre- and/or postdoctoral research experience. Specialist knowledge in CRISPR technology, together with a good knowledge of statistics, bioinformatics and R programming is essential
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better statistical methods to quantify the impact of neighbour noise on health and wellbeing. This project will use a mixed-methods approach, combining quantitative data collection with qualitative