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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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Adelaide University is offering a full-time PhD scholarship to support research into aluminium geochemistry in acid sulfate environments. Activities such as coal and metal ore mining, wetland
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on sedimentology, geochronology, palynology, isotopes and organic geochemistry. As part of this team, the Research Associate will contribute to fieldwork and sediment analysis, student supervision, and work towards
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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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for listening and reading. Experience in working with human participants, strong technical skills, and experience with data and statistical analysis. Experience in neurostimulation (e.g. transcranial magnetic
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of Animal and Veterinary Bioscience. This role will contribute to advancing research through the design, conduct, and analysis of in vitro testing and intensive animal trials, as well as the preparation
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. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical
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making and machine learning, with real-world testing and feedback. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under
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. The project will combine field measurements and laboratory analysis, using cutting-edge techniques including dynamic contact angle measurement, X-ray diffraction, mid-infrared spectroscopy, and synchrotron
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analysis. This role will be pivotal in advancing our ability to measure novel traits in field and controlled environments by implementing current best practices and proposing a program of targeted research