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large datasets and developing experimental techniques, including the use of artificial intelligence. There are also opportunities to be involved in the development and testing of new hardware for the next
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trajectories, and behavioural uncertainty more effectively, enabling more accurate predictions and improved decision-making in educational contexts. Research Objectives Develop quantum-inspired models
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Automating code generation, SQL query formulation, and data preprocessing pipelines is a crucial step toward intelligent and efficient software development. This project aims to leverage large
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I supervise projects considering the evolution of accretion discs and their connection to observations. In particular, I consider discs that are warped or distorted (not flat). This geometry has
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In collaboration with people from Monash materials engineering, neuroscience and biochemistry we are developing living AI networks where neurons in a dish are grown to form biological neural
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On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices, such as face recognition
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in 2026. These scholarships provide a tax-free stipend (currently $53,608 per annum) for up to 3.5 years, along with additional support for research, professional development, and participation in
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Our industry partners are developing software for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and
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will be developed to identify and reason over causal relationships among all associations from the data in literature. As the number of causal relationships is usually much smaller than
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materials and we utilise these non-absorbed X-rays to massively increase image contrast and reduce radiation exposure using coherent synchrotron radiation. We have developed these “phase contrast” and “dark