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of their remnants (including predictions for GW sources); mixing and transport processes in the stellar interior; nucleosynthesis and the origin of elements, including galacto-chemical evolution - which elements
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materials characterisation and modelling. Techniques may include thermogravimetric analysis, in situ X-ray diffraction, SEM, EBSD, image analysis, thermodynamic calculations and kinetic modelling. The aim is
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characterisation, to generate data-rich descriptions of evolving materials and processing pathways. A central aim is to couple these experiments with machine learning, mechanistic modelling, and automated data
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, advanced characterisation, computational modelling and artificial intelligence. Project Details Start: 2027, flexible by agreement Graduate research degree: Doctor of Philosophy (PhD) Location: Clayton
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-intelligence-controlled atom-by-atom synthesis of functional nanomaterials Theoretical and numerical modelling of the electronic structure of functional low-dimensional nanomaterials (with Prof Nikhil Medhekar
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-depth qualitative evidence on how Australian adults experience these financial support systems. These insights will be utilised to co-design a navigation support model that can assist individuals in
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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I supervise a wide range of projects stellar astronomy. They include modelling stars in 1D or 3D, deciphering the origin of the elements (stellar nucleosynthesis), and observing using optical
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I am an experimental particle physicist that works on the search for phenomena that are beyond our current theoretical understanding in terms of the Standard Model of Particle Physics. The research