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Electrochemistry is funded by the Australian Research Council through a Discovery Project entitled “Molecular Engineering of Locally Concentrated Ionic Liquid Electrolytes”. The purpose of this scholarship is to
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
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project within an NHMRC-funded program focused on dementia research. Using a systems biology framework, the project will integrate genomic and lifestyle data to identify key molecular pathways and risk
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the area of microbially induced calcium carbonate precipitation is limited due to poor understanding of bio-mineral reaction kinetics at molecular level; highlighting the need for unpinning the role
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observational research (e.g., simulations) and/or lab or field experiments Experience with the analysis (e.g., sequential analysis, multilevel modelling) and interpretation (e.g., conference presentation
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an Expression of Interest (EOI) following the advice at How to apply for a research degree. In your EOI, nominate Associate Professor Soniya Yambem as your proposed principal supervisor, and copy the URL link
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Metallurgy and Corrosion cluster, working within a multidisciplinary team spanning theory, advanced characterisation, and computational modelling. This environment provides an excellent platform for developing
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grow new materials by molecular beam epitaxy, or create heterostructures of materials by exfoliating and stacking atomically thin layers from crystals, and fabricate nanoscale electronic devices
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possible shift (temporal and spatial) in rainfall patterns across the MLR (climate change/water) Explore various River Murray hydrological, hydraulic modelling questions (River Murray/water) Review economic
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/Computer Engineering, Computer Science, Applied Maths or related. Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modelling, time-series or control/power