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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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research infrastructure (such as the Australian Synchrotron) and have access to world class analytical instrumentation on site at the Parkville Campus. The Opportunity: This position will focus on research
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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code
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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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, and data protection Apply engineering principles, including version control (e.g., Git), CI/CD pipelines, and infrastructure-as-code (IaC) to ensure robust and repeatable deployments across both
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as “range anxiety” are amongst the top barriers to the wide adoption of EVs. This project aims to develop a paradigm for data-driven modelling of EV behavours, optimisation for EV charging station