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, multidisciplinary facilities for studying cellular and animal disease models. It also maintains numerous collaborative research links across the UCL Queen Square Institute of Neurology, UCL, the UK, and
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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experience and understanding of statistical analysis methods using Stata, including descriptive statistics and regression analysis of large complex datasets, as well as epidemiological concepts. Customer
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analysis methods, powder processing, optics, signal processing, and related fields. Ideally, they would also have experience in imaging, image analysis, and microstructural analysis. Their expertise should
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of novel genomic technologies in pathogen detection and host immunity profiling. In particular, we are leading the roll out of metagenomic methods within NHS diagnostic labs. The post will be for 16 months
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mitigation priorities for the UK. Candidates should also be experienced in conducting quantitative research and applying spatio-temporal epidemiologic methods, ideally to environmental health data. Further
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mitigation priorities for the UK. Candidates should also be experienced in conducting quantitative research and applying spatio-temporal epidemiologic methods, ideally to environmental health data. Further
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datasets Previous experience in statistical analysis of data, leading to peer reviewed papers and/or presentation of findings at conferences Evidence of excellent scientific analysis skills Strong computer
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills