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the Australia and New Zealand Musculoskeletal (ANZMUSC) Clinical Trials Network, this project offers the opportunity to contribute to internationally recognised research that directly informs clinical care for
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-dependent process to a device-assisted platform by integrating zero-net-mass-flux synthetic jets, piezoelectric actuation and quantitative aerosol diagnostics into an adaptive soft-mist inhaler. Funded
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international network of researchers and implementation partners across Australia and Indonesia. Potential PhD Projects More than one billion people live in informal settlements facing increasing climate and
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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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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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learning frameworks such as PyTorch (required) Knowledge of neural networks, transformers, and representation learning techniques (desirable) Experience in time-series modelling, biosignal analysis
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of RNA‑based science. The project provides an opportunity to work at the interface of strategic communication, sociology, public health messaging, and digital media analysis, supported by a supervisory
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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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for Bayesian/statistical modelling with uncertainty analysis or programming skills in Python, MATLAB or equivalent and a background in hydraulic, kinetic or systems models. Also highly desirable to have