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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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and deployment of these models into automation scenarios. We seek to develop a human-centred AI solution, a suite of visual tools for integrating and understanding various AI techniques in application
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and visual analytics, including designing interactive tools, applying human-centred methods, publishing outputs, and contributing to funding applications and collaborative projects. Supervision and
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Immersive Visualization of Protein Structures in Food Science Using VR/AR Primary supervisor Wai Peng
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the areas of visual attention, decision-making, and learning. Demonstrated experience in neuroimaging (particularly electroencephalography, EEG), and/or computational modelling of brain/behaviour
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of Music (Jazz and Improvisation or Interactive Composition); or be enrolled in the Master of Music (Performance Teaching) or Master of Music (Music Therapy) Current Masters and PhDs (in Music or Music
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digital learning modules excellent written and visual communication skills. experience using Thinkific or similar course platforms (desirable) familiarity with multimedia learning tools and interactive
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Eligibility To be considered for this scholarship, you must: Be a current student in Jazz and Improvisation or Interactive Composition Demonstrate innovation in performance and improvisation Current Masters and
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This scholarship supports students enrolled in the Bachelor of Music Jazz and Improvisation or Bachelor of Music Interactive Composition with loans and grants for purposes associated with their music studies
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software tasks (bug fixing, refactoring, unit test creation) for empirical evaluation. Measure human-AI collaboration efficiency. Investigate Trust and Explainability Explore how developers interact with