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for estimating sustainable city size by identifying key determinants (e.g., accessibility, agglomeration, emissions, equity), testing spatial boundary sensitivity, and broadening sustainability
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external experimentalist. You should have expertise in at least one of the following areas (i) Non-adiabatic chemical dynamics, (ii) Physics of charge transport in the solid state, (iii) QM/MM methods, (iv
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. The candidate will contribute to the development of empirically validated methods for identifying and mitigating such effects. The research will involve experimental studies, neurophysiological methods (e.g., eye
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
, and grassroots creativity that may be undervalued in formal cultural economies The project will innovate methodologically (leveraging methods from human-centred design and digital sociology) to generate
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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regeneration in lizard cartilage Investigate growth, resorption and remodelling in shark mineralised tissues as a diagnostic tool. Significance The current method used to age sharks for fisheries management
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
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the body. This project involves the development and application of advanced computer simulation methods to explore the mechanisms of ion conduction, selectivity and activation for ion channels that control
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quantitative methods. Expected outcomes include new knowledge on designing for technology-supported wellbeing, particularly when using human-centred AI. The project will involve critical analysis of existing