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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes
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This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
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" with A/Prof Amanda Karakas "Proton ingestion and neutron capture" with Dr Simon Campbell "Tackling the Lithium mysteries with telescope data and stellar models" with Dr Simon Campbell web page
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
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the selection process for the Integrated PhD program. Information about the application process for the Integrated PhD program is provided here Shortlisted applicants will be invited to attend a 30-minute
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will have the opportunity to interact with gravitational-wave researchers throughout Australia and around the world. Students in my group use data from the Laser Interferometer Gravitational-wave
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Empirical studies in Information Visualisation research have become more commonplace in the past two to three decades. While formerly the research focus was primarily on utilising the power of novel
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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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projects that involve data analysis, the application of artificial intelligence, the development of new detection techniques, and the exploration of new experimental methods through collaboration with our
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fields and control systems. In addition to this, simulations of electron spins and subsequent data analysis are also an important aspect of our work. "Wide-field quantum microscopy of exotic materials