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PhD Scholarship - Novel methods to enhance the use of routinely collected linked data for the evaluation of government policies related to healthy ageing Job No.: 691415 Location: Frankston
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is carried out within the LHCb collaboration that runs one of the four large experiments at the Large Hadron Collider at CERN as well as towards future collider developments. I supervise a number of
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qualitative and quantitative methods. Work on WP-2 will suit someone with an interest and aptitude for coding administrative data using large language models. It will require use of advanced quantitative
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disability, and contributes directly to nationally significant health and disability policy reforms. The successful candidate will undertake data-driven, policy-relevant research using advanced quantitative
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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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coursework, research training and a minor thesis packaged into a Master of Commerce (MCom) degree, and takes one year to complete. Provided you meet the agreed conditions, you will then progress to the PhD
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
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of Commerce (MCom) degree, and takes one year to complete. The PhD stage, which is dedicated to research activities and career development, typically takes three and a half years to complete. You will
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understand our place in the cosmos. I am a member of most large stellar spectroscopic surveys (e.g., Gaia, SDSS-V, 4MOST, GALAH, Gaia-ESO), providing access to pan-optic data across all visible and infrared