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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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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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protoplanetary discs matched to our nearest star-forming regions* Modelling outbursts in young stars during star cluster formation* Modelling how dust grows from micron-sized grains to km-sized planetesimals in
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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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-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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offers the opportunity to contribute to an emerging area of interdisciplinary research that brings together artificial intelligence and advanced materials modelling to address key challenges in
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deployment requirements. This PhD project aims to develop next-generation foundation models for privacy-preserving human-centric video analytics. Research directions will include: Human action and activity
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comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop