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necessary to use all epidemiological tools, including microbial genomics, to support this endeavour. This exciting project seeks to using whole genome sequencing measles data to advance the understanding
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project offers a unique opportunity to develop a cutting-edge genomic epidemiology toolkit for real-time fungal surveillance. You’ll optimize DNA extraction protocols using advanced enzyme-based methods
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. This would include those with experience in economics/econometrics seeking to explore epidemiology and policy analysis, those with statistical skills in epidemiology wishing to develop skills in economics and
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the field of social or health sciences, bio/statistics, epidemiology or demography. Relevant experience in mathematical demography, statistics or other discipline with strong quantitative components
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experience in this clinical field is not essential. We welcome applications from early career researchers with relevant expertise in a wide range of quantitative or qualitative methods (e.g. epidemiology
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epidemiology and machine learning. The scholarship will fund course fees up to the value of home fees*, a tax-free stipend of no less than £20,780 per annum), plus additional support for research expenses
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Master in Epidemiology or Public Health with experience in medical statistical analyses, an understanding of Health Economics, knowledge of the strengths and weaknesses of scientific research, excellent
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), or a Master’s degree from a relevant discipline with a substantial quantitative component (such as medical/biomedical sciences, epidemiology, public health, health data science). Experience or interest
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important questions in cancer research, have extensive experience of quantitative analyses, and be a positive contributor to our focussed team. Individuals with experience of epidemiology are especially
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Master in Epidemiology or Public Health with experience in medical statistical analyses, an understanding of Health Economics, knowledge of the strengths and weaknesses of scientific research, excellent