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finite element methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data
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recycling: Project 1 (2 PhD students): Cost-Efficient Direct Recycling for Metal Oxide Cathode Materials – These projects focus on developing low-cost, scalable strategies for the direct recycling and
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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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of hydrogen migration through isotopic, noble gas and micro thermometric analyses of hydrogen-bearing inclusions. Eligibility: Applicants may include Australian citizens, permanent residents of Australia 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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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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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