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technical documentation, research publications, and contributing to final project reporting and presentations. About You As the successful candidate, you will possess a PhD in Computer Science, Engineering
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team with extensive expertise in mixed methods research, evidence synthesis, healthcare evaluation and policy recommendations. The role will engage with diverse stakeholders across the aged care sector
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with formal qualifications in a relevant discipline, the ideal candidate will possess extensive experience in WHS and broader Human Resources management or can demonstrate equivalent knowledge and capability in
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, with the successful candidate commencing in January 2026. About You You hold a PhD (or equivalent qualification) in Midwifery and are currently registered, or eligible and committed to registering, with
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, you will demonstrate: Completion of, or significant progress towards, a PhD in Microbiology or a related discipline. Experience in molecular cloning, protein-DNA interaction assays, or sequence analysis
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progress towards, a PhD in Microbial Genetics, Synthetic Biology, or a related discipline. Proven experience in molecular cloning and genome editing tools, with desirable experience in phage biology. An
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the skills and confidence to become outstanding educators and leaders in the sector. To succeed in this role, you will bring: A PhD or equivalent qualification in Early Childhood Education or a related field
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enterprise applications. Knowledge of software development lifecycles and change management practices. Experience in higher education (desirable). Experience in HR systems administration (desirable). The ideal
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the application for this scholarship The application for PhD admission will only be assessed where: The applicant is successful in being awarded the scholarship Before applying for the scholarship, prospective
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to demonstrate: A Completion of a PhD in a health-related discipline. Experience in qualitative and/or quantitative research methodology. The ability to plan and execute data collection and analysis. Experience