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postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires skills and expertise in data science, statistics, and quantitative epidemiology. The position is based within a research
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expertise spanning biostatistics, environmental epidemiology, data science, statistical computing and climatology. Candidates are required to either have an undergraduate degree in statistics or epidemiology
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public and global health research, education and translation of knowledge into policy and practice. The school is seeking to appoint a Research Fellow in Medical Statistics, Data Science or Health
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include: researching issues of current or potential interest to IMMANA and the ANH Academy; producing epidemiological and statistical analyses; working on systematic reviews; and drafting research outputs
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degree in a field related to Public Health Nutrition, Epidemiology, or Public Health, with demonstrated strengths in geospatial and statistical methods. Demonstrated proficiency in Stata, R, or other
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of anticipated completion of a PhD in Medical Statistics or Epidemiology. Experience conducting independent research using routinely collected electronic health records and writing analytic code in Stata, R and/or
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includes overseeing all data management processes and data linkage tasks and activities for a portfolio of projects, preparing statistical analysis plans and preparing and analysing data. The post-holder
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a statistical modeller with an interest in climate
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. The main focus of Centre for Advanced Cardiovascular Imaging is to apply statistical, multi-omics and machine learning approaches to national-scale imaging studies. About Queen Mary At Queen Mary University
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degree, ideally a doctoral degree in mathematical modelling, statistics, epidemiology or another relevant discipline with a strong quantitative component. Candidates should also demonstrate experience in