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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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in analogue formats in the first place. However, the preservation of information is often a neglected aspect of community informatics projects and of information behaviour research. This PhD project
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these issues is critical for building trustworthy multimodal AI systems. Research Objectives The goal of this PhD project is to develop scalable Bayesian uncertainty estimation frameworks for single- and multi
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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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, and online forums, while reviewing usage, costs, and research outputs to drive continuous improvement and innovation. As the successful candidate, you will hold a PhD or relevant Masters/Honours
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faced by real people and creating a lasting impact. Join us and help to create a world that is more inclusive and equitable. If you are interested in undertaking a PhD with MATS and you meet the criteria
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the biological experiments are conducted. The intended departure point for this PhD project is to use reinforcement learning, a mainstream AI technique, to model task allocation mechanisms. #sustainability
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, yielding negligible performance gains or even inducing catastrophic forgetting. To bridge the gap between theoretical AL and real-world deployment, this PhD project will develop resilient active learning
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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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reconstruction and data analysis. The PhD students will be working at Monash Biomedical Imaging and Faculty of Information Technology, Monash University. Monash Biomedical Imaging is one of the most advanced