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relevance across various surgical procedures and patient groups. Objectives 1. Algorithm Development: (a) Design and implement a deep learning algorithm for CT scan analysis. (b) Train, validate, and test the
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understanding of principles of hydrometallurgy and minerals processing. - Strong skills in collecting, recording, and analysing experimental data and the statistical analysis of data. - Ability to interpret
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for policy, practice and advocacy. The mixed-methods project will use a combination of participatory approaches including but not limited to GIS mapping, stakeholder analysis, network and systems mapping
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, neuroscience, medicine, or a related field, with familiarity in experimental research and neuroimaging techniques. Skills in data analysis, particularly using EEG, and a strong understanding of cognitive
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delivered to approximately 300 individuals online to test for its efficacy in reducing distress at 1 week, 1 month and 3 months after the intervention. A prospective analysis of the real-world choice and use
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conceptual and methodological framework to address this emergent more-than-human politics. A thoroughgoing critical analysis of frameworks of environmental governance is needed, alongside the development
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using focus groups and task group methodology. Members of our team have conducted a systematic review and meta-analysis of the population attributable fraction (PAF) for dementia associated with 61
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Geophysics at Curtin University in Perth, Western Australia, offers an exciting PhD research opportunity in the area of active and passive seismic data analysis. The PhD candidate will be involved in
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formation. 4) Computational analysis of reaction systems and catalyst performance from macroscopic to microscopic viewpoints. Study modelling methods to evaluate structural stability, equilibrium gas
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complex characteristics of underwater communication channels; the performance of those classical models is poor, since understanding of underwater acoustic channels is insufficient. Recently our research