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planes and enable the in-situ growth of active nanoparticles. These lattice planes inherently exhibit distinct properties, including defects, electronic structures, and a tendency to form nanoparticles
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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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success for reactions that involve a net gain or loss of electrons: electrochemical reactions. These are an important class of reactions as they can be driven directly by renewable electricity, contributing
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understanding of principles of hydrometallurgy and minerals processing. - Strong skills in collecting, recording, and analysing experimental data and the statistical analysis of data. - Ability to interpret
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dementia may be exacerbated by cognitive decline, loss of memory, learning disabilities, attention deficits, and motor skills deterioration, which result in reduced ability of the care workers to perform
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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
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to conduct research on a full-time basis Desirable: Ability to read / translate from French, German or Italian Application process To express your interest, please submit an EOI form nominating Dr Robert
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ability to oversee PhD candidates. Dr Curtis and Dr Colledge-Frisby are emerging early career researchers; Dr Curtis has specialist knowledge of Australia’s ODTP and Dr Colledge-Frisby’s research interests
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carrier, while water electrolysis powered with renewables-generated electricity is a highly promising way for large scale green hydrogen production, in particular for Australia. The state-of-the-art
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to further Australia’s contribution to the international Square Kilometre Array (SKA) Observatory. The key science question being addressed in this PhD is closely linked to both the core scientific activities