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We are looking for a highly motivated researcher, whose expertise lies in statistics, to work with Prof Theodore Kypraios on a project at the forefront of infectious disease modelling. The role
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on the research and contribute to the preparation of manuscripts. The successful candidate will have a postgraduate, ideally doctoral degree in medical statistics or a relevant field and proven biostatistics
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an excellent opportunity for someone who wants a career in “big data” research. The role requires strong skills and expertise in data science, statistics, or epidemiology. The successful candidate will have a
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colleagues within the team. You should apply if you have experience in quantitative health research, statistics, epidemiology, data science, or a related discipline, with expertise in analysing large and
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We are looking for a highly motivated researcher, whose expertise lies in statistics and computational methods, to work with Professors Theodore Kypraios and Philip O’Neill on an NIHR-funded project
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statistical techniques to analyse large datasets, e.g. multivariate statistical analyses / survival analysis - Recent, relevant experience of using statistical packages STATA or R to conduct reproducible
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Impairment Study 2 (BCVIS2), ascertained through primary clinical data collection and bespoke individual record linkage to the National Pupil Dataset (NPD) and Hospital Episode Statistics (HES) data. This is
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Research Fellow will conduct statistical analyses
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application should clearly demonstrate that you meet the following essential criteria: Honours Degree in Psychology or related discipline. Hold or about to obtain a PhD in Psychology, Epidemiology, Statistics
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Role type: Full-time; Fixed-term (2 years) Faculty: Science School: School of Mathematics and Statistics Salary: Level A: AUD $87,266 - $118,416 p.a. plus 17% super ARC-funded collaboration across