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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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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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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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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
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Status: Closed Applications open: 5/09/2024 Applications close: 31/12/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by CSIRO
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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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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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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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, 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