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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
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of living evidence in APTs. Activities will involve conducting a needs analysis and process map of potential high-value decision points within APTs that would benefit from living evidence. The student will
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. Once the models are incorporated into a single System Architecture it will be analysed. The analysis will look at: the limits of the models. This will help to identify what has been and has not been
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experimental, engineering, and quantitative analysis), and embark industry engagement.
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; contemporary roots) institutional histories (political parties, unions, churches, education systems, universities, government agencies) historical analysis of antisemitic discourse in Australian print culture
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possible, please highlight relevant skills – such as experimental design, data analysis, neurophysiological methods, or legal/regulatory analysis – that can be directly cross-referenced against the project’s
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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environment and have opportunities to engage with national and international collaborators, develop advanced mixed-methods skills (including fundamental, computational, and AI-assisted analysis), and embark
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differential equations on existing data. This project will also involve the generation of new data in emerging applications. As a PhD student, you will address the forecasting challenge of how to predict and
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% of the student’s stipend rate; • be eligible to commence or continue a Doctor of Philosophy in 2026. How to apply To apply, please ensure you have digital copies of the below information: Curriculum vitae