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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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Hospital campus. The centre designs and delivers large, multi-centre clinical trials across critical care, including sepsis, traumatic brain injury, ventilation, ECMO, nutrition and patient blood management
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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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to cloud-based machine learning services, on-device ML is privacy-friendly, of low latency, and can work offline. User data will remain at the mobile device for ML inference. Problems: In order to enable
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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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crucial role in preventing the onset or progression of diabetes. A large number of mobile apps have been recently introduced to assist individuals with self-management of diabetes. However, these studies
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Assistant, ideally within a large, complex organisation. You thrive in a busy working environment where priorities shift quickly and require resilience and adaptability. Proactive and resourceful, you
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Impact In this role, you will Lead and coordinate the establishment and delivery of large-scale, international, multi-centre clinical trials Provide senior-level advice on trial design, governance, ethics
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. Application of artificial intelligence/machine learning to the big data from genetics and omics is well recognized in healthcare, however, its application to the data reported everyday as part of the clinical
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Faithful and Salient Multimodal Data-to-Text Generation Primary supervisor Teresa Wang Co-supervisors