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the Monash Initiative for Rapid Research into Antisemitism has several advantages. The candidate will be integrated into an active research agenda and will have access to support for data collection, fieldwork
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opportunities for a dynamic, ‘Learning Health System’ – where data can be harnessed to inform real-time and personalised decision-making. Existing linked administrative databases already capture Australian women
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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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the DARPA SubT Challenge. The Alberto Elfes Scholarship acknowledges a globally renowned roboticist and the very strong human links built over many years between QUT and CSIRO. The program will continue
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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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for this project. The successful applicant will be required to hold a Working With Children Check (WWCC) and police check, at their own cost, in order to undertake field work and to be onboarded with FNLRS data
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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