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adapt a model of reef ecology from the Great Barrier Reef to the Red Sea. The model will use available data but new field studies are anticipated to help parameterise important processes. This is an
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of Carbon Dioxide (GETCO₂). At our Computational Multiphysics Laboratory (CML), we value innovation, collaboration, and technical excellence. You will benefit from access to large-scale high performance
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health discipline or science). Experience in leading cohort studies is essential; an advanced understanding of pain and pain science is desirable. Experience with management of large data sets and evidence
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, connectivity within and among tropical ecosystems, and the design and functioning of marine reserves. Our research integrates field studies, large-scale observations, lab-based approaches, and ecological
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(Implementation Science) to join our national concussion research initiative. This position will play a pivotal role in coordinating and managing a large-scale study aimed at driving the uptake of the newly
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will include leading and undertaking quantitative data analyses, including working with large-scale longitudinal survey and administration data, to generate novel insights and contribute to high-quality
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. The project, "Building the bridge from GWAS to Breeder through multi-omic network data fusion", focuses on transforming GWAS discoveries into actionable breeding insights. Using sorghum as a model, the work
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and build a strong emerging research profile in Information Retrieval, Natural Language Processing and Large Language Models, with a focus on transformative applications in the healthcare domain. At UQ