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My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography), singular optics, using electrons, atoms and light and the exploration of complex systems using...
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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 stellar interiors, birth properties of black holes and neutron stars, supernova light curves and...
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My research interests focus on the stars - primarily their structure, evolution and nucleosynthesis. This can involve modelling of mixing in stars, or effects of changing nuclear burning rates; trying to understand why certain elements are more abundant than others; or how the different...
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My primary areas of research activity are two fold: first, studing thermonuclear (X-ray) bursts from accreting neutron stars; and second, searches for optical counterparts of gravitational-wave events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve...
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I supervise a wide range of projects in surface and materials physics, with a particular focus on novel electronic materials such as topological insulators where electrons can be transported without dissipation along the edges of the material. It is hoped that these sorts of materials will one...
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I supervise a wide range of projects in stellar astrophysics, with a focus on low and intermediate-mass stars, which have masses similar to or slightly larger than our Sun. This work is carried out within the Centre of Excellence for Astrophysics in 3D: ASTRO 3D. As a member of my group, you...
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representation learning paradigm. This approach allows each user to disclose an incomplete yet distinct set of personal information while still learning expressive user representations from that data
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Opportunity to help develop a novel nanophotonic therapy targeting drug-resistant hypertension Full-time, fixed term (3.5 years) position at our Hawthorn campus Annual stipend $40,000 About the Role
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to frailty assessment could be beneficial. Manual measurements from CT scans, however, are labor-intensive and subject to observer variability. The advent of deep learning in medical imaging presents a
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Opportunity to help develop a novel nanophotonic therapy targeting drug-resistant hypertension Full-time, fixed term (3.5 years) position at our Hawthorn campus Annual stipend $40,000 About the Role