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a collaborative research team using large-scale Australian data and modern statistical methods to produce credible evidence on these issues. The project provides an opportunity to contribute crucial
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disability, and contributes directly to nationally significant health and disability policy reforms. The successful candidate will undertake data-driven, policy-relevant research using advanced quantitative
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labour markets shape the recruitment, retention, well-being of doctors and nurses, and how these dynamics affect access to care and population health. Using large-scale longitudinal administrative data and
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significant health and disability policy reforms. The successful candidate will undertake data-driven, policy-relevant research using advanced quantitative methods, including causal econometric analysis and
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, and how these dynamics affect access to care and population health. Using large-scale longitudinal administrative data and modern causal inference methods, the research will analyse how changes in pay
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understood. The candidate will join a collaborative research team using large-scale Australian data and modern statistical methods to produce credible evidence on these issues. The project provides
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for people with disability, and contributes directly to nationally significant health and disability policy reforms. The successful candidate will undertake data-driven, policy-relevant research using advanced
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to care and population health. Using large-scale longitudinal administrative data and modern causal inference methods, the research will analyse how changes in pay regulation, job quality, working
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systems. Analyse mixed-methods data (quantitative biometrics + qualitative focus groups). Collaborate with educators, engineers, and industry partners. How to apply To apply, please ensure you have digital
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health, employment, and wellbeing outcomes for individuals and families. The successful candidate will join a highly collaborative research team using linked employer–employee administrative data