158 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" PhD scholarships in Australia
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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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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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economical route Visa application fees For more information about research opportunities, application processes and the reasons to consider study at the University of Melbourne, see the Graduate Research Hub
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- University of Melbourne PhD Scholarship Graduate Research Scholarships The information listed here is subject to change without notice. Where we have listed information about jointly run scholarships programs
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Acknowledgement of Akuru collaboration in all outputs. Governance & Ethics Projects involving patient or staff data will require ethics approval and must comply with University of Adelaide, SA Health, and partner
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Status: Open Applications open: 21/01/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship is funded
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Status: Open Applications open: 11/09/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Please note that this is for
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an application Status: Not open yet Applications open: 29 Aug 2025 Applications close: 11 Jan 2026 The information listed here is subject to change without notice. Where we have listed information about jointly
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health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health