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federated learning and multimodal deep learning models for healthcare. The project will focus on enabling privacy-preserving learning from distributed healthcare data sources, including longitudinal medical
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, Distance Less than 40 Mpc, SAGUARO, and Global Supernova Project. Here are a few examples of students' projects that can be adapted to suit the interests of students. Constraining the mass loss rate of red
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. The Opportunity This interdisciplinary PhD project between IT and the social sciences will explore the development of computational approaches for detecting and analysing misogynistic backlash ecosystems across
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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
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Peterson). This project combines both theory and experiment. "Geometric-flow across diffraction patterns in 4D scanning transmission electron microscopy” (with Assoc Prof Scott Findlay and Dr Timothy
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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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regularly conducts experiments at the Australian Synchrotron and international synchrotron facilities like Spring-8 in Japan and the European Synchrotron Radiation Facility in France. Some projects involve
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I offer projects broadly related to supernova explosions and the final stages in the lives of massive stars. Specific topics of interest include fluid dynamics processes in stellar explosions and
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I supervise projects in particle physics. My main emphasis is on phenomenology, comparison of predictions with experimental measurements. I follow developments in flavour physics: weak decays
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to be unconventional. I have projects available within the following research areas (at both Honours or PhD level): "Excitons and excitonic superfluidity in monolayer semiconductors" "Interplay of Dirac