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seismic data to produce 3D geophysical models that will constrain the subsurface extent of rock units that might be suitable for hydrogen generation via radiolysis and/or serpentinization and identify
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personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors
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: Forging the new Australian Dream in a Post-homeownership nation . To commence in 2025, this PhD will involve international comparative analysis of qualitative (including primary data collection) and
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clinicians and community members, and contribute to the analysis, interpretation and reporting of study findings, as well as to the design of the intervention involving pharmacists and rural health staff. As
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for. Moreover, the areas of applicability and validity of those models are not available. The attempt to define the applicability domains in the 3D Euclidian space of dimensionless capillary-viscous and gravity
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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of potential options for implementation. This will include prototyping and testing of various implementation options, analysis and documentation of results. Project 2 - Future Power System Modelling: As part of
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with causal inference techniques such as causal graphical models, instrumental variable analysis, and counterfactual reasoning to better handle high-dimensional, multi-environment datasets typical in
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to undertake research in the field(s) of Product Development and Artificial Intelligence, Sustainable Building Practices, and Data Analysis. The nature of the research and development activities for the research
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to undertake research and development activities in the areas identified below: State level climate vulnerability assessment for SA Aquatic Ecosystems (climate change/water) Analysis of rainfall data to identify