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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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a Research Fellow must hold a postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires skills and expertise in data science, statistics, and quantitative epidemiology
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carrying out statistical analysis. Please visit Work at UCL for further information. About you The candidate must have a PhD or equivalent working experience in epidemiology, global health, statistics
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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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surveys. The post-holder must have a postgraduate degree in a field related to Public Health Nutrition, Epidemiology, or Public Health, with demonstrated strengths in geospatial and statistical methods
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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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familiarity with consensus generation methodologies such as the Delphi method, and be able to conduct statistical analysis of large datasets. We offer an occupational pension scheme, generous annual leave
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a hip or knee replacement. The project team, led by Alex Bottle, professor of medical statistics, is multidisciplinary, including surgeons, allied health professionals, and social scientists. You will
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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