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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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vast amount of data in a reasonable time, leading to better health care for patients. The project aims to Design and develop a system to integrate mental health data in different formats from various
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In SmartScaleSys (S3), we aim to design and build resource management solutions to learn from usage patterns, predict future needs, and allocate resources to minimize latency, energy consumption
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to real-life data. The goal is to generate new knowledge in the field of time series anomaly detection [1,2] through the invention of methods that effectively learn to generalise patterns of normal from
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architectures. Design principled uncertainty modelling frameworks for multi-view/multimodal learning. Model uncertainty propagation across modalities in fusion architectures. Develop robust learning methods under
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include: 1. Identify a novel co-design methodology along with the structural templates that could be used to drive the further design process of collocated teamwork analytics with critical educational
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. This program of work will engage three PhD students, each from a different background (technical, psychology, design/HCI), to contribute their expertise towards enhancing the helpline service and improving
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Crystal Sky Schubert Brian M Davis Industrial Design Scholarship Having grown up in a financially disadvantaged background as the career for my mother with an intellectual disability, there were many times
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In
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to provide financial support and encourage Indigenous Australian students to pursue undergraduate studies in the field of design. Applications Not awarded in 2025 Total scholarship value Up to $18,000 Number