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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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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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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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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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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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; 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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, which are some of the most numerous stars in the Universe. "Weighing stars using stellar vibrations: Asteroseismic masses of Red Giant Stars using space telescope data" "Using optical telescope