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the ARC Centre of Excellence for the Digital Child. Projects will involve different research methods and designs in research areas: Community perspectives on children’s technology use, and how
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-team and contribute to a clinical trial research project of national significance for youth mental health. The project applies modern data science methods to build explainable and integrated machine
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tissues or reveal micro- or nano-structural features, like the small air sacs in lungs. To overcome these limitations, alternative X-ray imaging methods have been developed: X-ray phase-contrast and dark
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maximise product yield and selectivity. Advanced separation and analytical methods will be used to isolate and purify the chemical products, while the solid biochar by-product will be formulated into slurry
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software frameworks, algorithms, robust testing and validation methods, and/or empirically validated solutions that contribute directly to social good, promoting trust, fairness, transparency, and
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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aims to explore who takes physics and astrophysics major units, why they pursue them, and what obstacles they may face. There are a number of research questions under this umbrella. Computational
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Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program. Eligibility criteria The successful candidate must meet the minimum academic entry requirement for admission
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also not be in receipt of any other scholarship. Essential: English language IELTS level of 7 and above Essential: Successful completion of an Honours or Masters programme with a research component (or
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will be required to enrol in a Curtin University Doctoral program on a full-time basis for 4-years. Student type Future Students Faculties and centres Faculty of Business and Law Course type Higher