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bring: A PhD, or an equivalent combination of qualifications and demonstrated research experience, in Electrical Engineering, Mathematics or related fields, with a focus on power systems engineering
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objectivity and consistency. Recent studies have highlighted the potential of computed tomography (CT) scans to provide objective markers of frailty. Metrics like Psoas Muscle Density (PMD) and Kidney to Body
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in lower vertebrates, if it is present in sharks and how or if cartilage repair occurs in lower vertebrates. This project aims to develop a better understanding of the biology of cartilage in lower
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courses Any HDR student wishing to study in the exploration seismology filed. The successful candidate must enroll into a Doctor of Philosophy (PhD) program (full-time study mode). Eligibility criteria
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, research suggests that in Australia 48% of dementia cases could be prevented through actions to mitigate the seven risk factors addressed in this PhD. Aims The aim is to develop a new public health toolkit
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of their difficulties. Discovery strategies typically involve writing or talking about their problems in a safe context. Aims This PhD aims to codesign a research study to establish initial evidence for the efficacy
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enrolled full-time on-campus in the PhD program at UniSQ; be an international student, not an Australian or New Zealand citizen or Australian permanent resident; and commence or continue study in 2026
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internship within St John Ambulance. Student type Future Students Faculties and centres Faculty of Health Sciences Course type Higher Degree by Research Citizenship Australian Citizen Australian Permanent
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qualifications that align with the discipline they will research, as well as meet the requirements for entry into the Curtin doctoral program. For entry into the Curtin HDR programs that attract a Stipend: PhD
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of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria Outstanding Computer Science or Engineering student Knowledge of data