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one or a combination of the following: quantitative analysis, modelling, spatial analysis, optimisation, forest restoration, ecosystem services valuation, policy analysis, market design, or
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and models to monitor harms associated with AOD use. This project will use a suite of population-based sources and aim to identify locations and sociodemographic sub-groups most at risk of AOD harm
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reproductive wellbeing or what they believe supports it. This gap means health services risk designing models of care that don’t fully align with women’s lived experiences, priorities, and preferences
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to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by