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. Nonlinear finite element modelling and characterisation Conduct numerical modelling via nonlinear finite element analysis and physics-informed neural networks Materials characterisation for soft, textile and
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, the project will explore how displacement has impacted the wellbeing, financial security, and social participation of affected populations. It will involve a comprehensive analysis of how these impacts
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analysis to extract processing-structure-property relationships and support predictive process optimisation. The project sits within Monash's broader ambition to build physical-digital capability
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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 High
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. The draft research proposal should demonstrate a clear description of the current problems in video analysis, a clear proposed framework to mitigate those issues, highlight the components of novelty and
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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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! Possible projects involve massive stellar binaries, gravitational-wave data analysis, astrostatistics, dynamics in galactic centres and globular clusters, probes of general relativity in the strong-field
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leading groups in the economic analysis of health and health care, with the largest Health Economics PhD program in Australia and the highest concentration of health economists in the Asia-Pacific region
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. Analysis of this data will employ both qualitative and quantitative methods. Work on WP-2 will suit someone with an interest and aptitude for coding administrative data using large language models. It will