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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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the expertise in repair and rehabilitation of structures with advanced materials, construction-grade waste materials and experience in experimentation and modelling of structures or structural elements. This all
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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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(including, but not limited to, protein extraction, Western blot, immunohistochemistry/immunofluorescence, QuPath based image analysis). Perform statistical analysis of research data and interpretation of main
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focused on understanding and countering harmful narratives and, mis/disinformation, and applying social network analysis. To be successful you will need: PhD in a relevant discipline such as computer
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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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, or international student; be enrolled in a PhD program in the Faculty of Health and Medical Sciences the field of medicine known as nuclear medicine; or a field of academic study where a substantial component of the
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Community Controlled Health Organisations in South Australia. Experience with comprehensive data registries and data analysis. Demonstrated high level organisation skills. Ability to work well both
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skillset and experience will be advantageous: First Class Honours or Masters degree in Chemistry or Environmental Science Skills in analytical chemistry, particularly GC-MS analysis of trace volatiles Good