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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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: 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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the Faculty of Health and Medical Sciences in the area of Dentistry; and be undertaking a research project that includes a fieldwork component. Value and Tenure: The award will be $10,000 per annum
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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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modelling tools for molten metal and salt bubbling catalytic reactors to improve carbon separation and reaction rates. To be based at University of Adelaide. University contact: Dr Zhiwei Sun (zhiwei.sun
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, providing evidence-based analysis for determining force effectiveness. The applicant will work with other researchers and engineers in A/Prof Szabo’s team who share broad goals in modelling and simulation and
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advantageous. Proven expertise in handling large datasets and time-series analysis. Familiarity with electricity market data is a plus. Advanced Python programming skills, preferably with experience in machine
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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