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We are seeking to appoint a highly motivated individual to enhance our Data Science group. You will have a background in biostatistics, data science, health informatics, or quantitative epidemiology
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(infectious disease epidemiology; mathematical modelling; immunology and immunogenicity; clinical trial evaluation of vaccines; vaccine impact and policy), with a particular strategic focus on Invasive
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Brain Health Biomedical Research Centre ¿ Mental Health in Development Theme, and the Networked Data Lab. You will have a PhD in a highly numerate relevant area (e.g. epidemiology and/or public health
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/ epidemiologists / statisticians / economists committed to utilising data to address health inequalities. These posts will support four projects (1) Tackling child health inequality: and interventional epidemiology
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companion animals (SAVSNET), but increasingly from horses and farm animals that together total 100s of millions of rows of data, and use statistics, epidemiology, data visualisation and dashboarding, and
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-based, policy-relevant epidemiological, interventional research and longer-term modelling. We seek highly motivated individuals with a PhD or equivalent in data science, applied statistics, geography
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with a diverse training background to apply e.g. epidemiology, statistics, mathematics, engineering, physics, where you can apply your knowledge to health care data. You will have a PhD in epidemiology
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diseases, epidemiology and statistics to investigate causes of drops in egg production/quality in free-range egg-laying flocks in the UK. The research is based at Leahurst Campus, Cheshire, but infrequently
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with a diverse training background to apply e.g. epidemiology, statistics, mathematics, engineering, physics, where you can apply your knowledge to health care data. You will have a PhD in epidemiology