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, integrated, embodied systems, you will co-create, validate, and disseminate a statistical Index of Community Assets (IoCA) to capture aspects of community and belonging in neighbourhoods that are not well
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We are looking to appoint a Senior Research Fellow to join the Department of Statistics and the Oxford-Man Institute of Quantitative Finance (OMI). The postholder will split their time roughly 40/60
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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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to engage with diverse audiences, including individuals with lived experiences of depression, through public engagement and public outreach initiatives. As a valued member of our team within the Statistical
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data from relevant cohort studies using cutting edge statistical techniques of causal inference. Appointment Details: Application Process: A full job description and person specification can be accessed
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Assistant. About you You will have a PhD or MSc with experience in a relevant discipline (e.g. statistics, epidemiology, public health). You will have advanced quantitative and statistical software skills
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such as Geography, Computer Science, Planning, Statistics, Mathematics, Physical Sciences, Social Sciences are likely to be relevant. Or other relevant or equivalent qualifications. They will also have
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sciences, applied statistics, epidemiology, public health, pharmacy, psychology or related area. Strong quantitative skills and experience of using statistical packages such as STATA, R or SPSS. Experience
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of Masters Programmes and a substantial number of postgraduate research students. We undertake research on a wide range of issues relating to human evolution, with a fo cus on model-based statistical inference