15 software-engineering-requirements-engineering Fellowship positions at University of London
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sanitation intervention. As part of this work, the post-holder will also coordinate sample analyses at laboratories in Salvador and at LSHTM. The post will require considerable travel to the study site in
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, which has particular strengths in developing new statistical methodology, including methods for missing data and causal inference. The role will involve application and development of statistical theory
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access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here This is a unique opportunity to help build a first-of-its-kind cancer AI development
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analysis of large-scale cohorts. The job requires strong skills in statistical inference and probability, and knowledge of designs and analytical methods for cohort studies. The candidate must have
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or are pre-registration are not eligible to apply. Doctors should have completed their internship or Foundation training. Other healthcare professionals need to have at least 1 year of clinical practice
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degree, ideally a doctoral degree, in a relevant topic. The post requires strong quantitative skills with expertise in a common statistical package such as Stata/R and the ability to work with large
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). This global project aims to assess the behavioural and social drivers of vaccine uptake and to identify both supply- and demand-side barriers to immunisation. The post-holder will contribute to modelling
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surveys, overseeing their implementation, training researchers, analysing data and playing a lead role in producing peer-reviewed papers (key author positions). This will involve analysing and publishing
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to optimize treatment for female genital schistosomiasis. The post holder will join the LSHTM Schistosomiasis Research Group. The duties of the post will involve coordinating and writing ethical approval
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large health datasets on topics including pharmacoepidemiology and non-communicable diseases. The post requires strong data management and quantitative skills with expertise in a common statistical