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invitation to apply from the relevant faculty before beginning your application. For more information visit our website or contact our Graduate Research Admissions team on E: mgro-apply@monash.edu or T: +61
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. For more information visit our website or contact our Graduate Research Admissions team on E: mgro-apply@monash.edu or T: +61 3 99051538 Please ensure that you indicate that you are applying for the 'China
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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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, and drive continuous improvement. Deliver high-quality customer service through timely issue resolution and effective stakeholder engagement. Contribute to data analysis, reporting, governance
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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
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excellence. Knowledge of student placement processes, data management and privacy and compliance requirements is essential alongside experience using student information systems and placement databases such as
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of the ARC Laureate Fellowship, providing hands-on support for data-intensive research activities. It will contribute to the curation and processing of UK Biobank data and assist in developing an integrated
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degree, or High Second-Class Masters degree or equivalent in the health-related field. Strong quantitative research skills. An understanding of quantitative research methodology and data analysis. Evidence
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We are living in the era of the 4th industrial revolution through the use of cyber physical systems. Data Science has revolutionised the way we do things, including our practice in healthcare