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. I am also interested in interdisciplinary research with a machine learning foundation. So if you’re interested in projects such as applications of ML in tracking geo-spatial changes (e.g., climate
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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-driven, and grounded-on-Country initiative introduces a transformative model of care that integrates ancient cultural wisdom with modern neuroscience and digital innovation—addressing long-standing health
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. Design computer vision models to estimate tool-to-retina distance and generate accurate three-dimensional navigation waypoints. Develop and validate AI algorithms using simulation, sim-to-real transfer
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-relevant model of employer-led disability employment. The candidate will be supervised by Associate Professor Nathan Caruana (HAVIC Lab; Flinders Autism Research Initiative) and Dr Jung Yoon (Centre
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of surface water, groundwater, and probabilistic seepage analysis, together with modelling and uncertainty assessment techniques. Consideration of these interacting processes may help improve the accuracy and
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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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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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awarded 1 Eligible courses Enrolled in HDR Spatial Sciences Eligibility criteria Australian or New Zealand citizen or an existing Australian Permanent Resident Full-time enrolment Successful recipient must