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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 one of the following doctoral research projects. 1. AI-Aided Site Reconnaissance and Rapid Assessments for Settlement Upgrading How can spatial analytics, remote sensing, and machine learning models
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2 examines participant experiences of benefit systems; and Program 3 informs system redesign using community preference models. Together, they form an integrated agenda linking prevention, lived
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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