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shape 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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analysis, case studies) Strong analytical and writing skills Desirable Skills Familiarity with energy, water, food or waste policy domains Experience with Multicriteria Mapping Interest in interdisciplinary
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quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology with strong statistical training. You can check your eligibility with the PhD readiness
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approved by both GLaWAC and Professor David at Monash. Applications that focus on specialised topics such as those relating to archaeological faunal remains, geoarchaeology, stone artefact analysis
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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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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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; 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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measurements in particle physics. Many of my projects are informed directly by current measurements, e.g. addressing new or unexpected features seen in the data. Others focus on improving the formal accuracy
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characterisation facilities, offering exceptional opportunities to perform in-situ and high-resolution materials analysis. Leveraging these state-of-the-art research capabilities, the candidate will conduct high