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language models and continuous wearable data now make genuinely personalised, context-aware coaching feasible for the first time, while raising real questions about safety, equity, engagement, and cultural
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AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
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-depth qualitative evidence on how Australian adults experience these financial support systems. These insights will be utilised to co-design a navigation support model that can assist individuals in
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federated learning and multimodal deep learning models for healthcare. The project will focus on enabling privacy-preserving learning from distributed healthcare data sources, including longitudinal medical
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with annual indexation) Faculty of Information Technology Tuition Fee Scholarship (for international students only) Industry Top-up scholarship of $10,000 per annum FIT Candidature Funding of $4,000
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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Australian adults experience these financial support systems. These insights will be utilised to co-design a navigation support model that can assist individuals in accessing and engaging with these systems
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analysis, modelling & simulation and policy evaluation. The candidate will work under the supervision of Associate Professor Rohan Sweeney and Dr. Maame Esi Woode and other researchers at the Centre
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characterisation, to generate data-rich descriptions of evolving materials and processing pathways. A central aim is to couple these experiments with machine learning, mechanistic modelling, and automated data
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the University of Sydney, Deakin University and University of Technology Sydney, who are collaborators on this project. Who we’re looking for This project is an excellent fit for researchers who want to improve