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engagement, and a positive, inclusive workplace culture aligned with the University’s strategic priorities. About you Completed PhD in Aboriginal and Torres Strait Islander Health, Mental Health, Social and
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of these publications and your part in these. Selection Criteria: Essential PhD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial
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Preparation Program, offering leadership and research training, mentoring, professional development, writing retreats, seed funding for innovative research, and opportunities to participate in national and
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to apply You must submit an application and include: A personal statement addressing the extent to which the additional research project will enhance the PhD thesis and improve future career prospects and
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of the University. To be successful, you’ll have: A PhD in a relevant discipline (or equivalent qualifications), awarded within the past three years at the time of application. Demonstrated capability to meet the
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capability within a collaborative, solution‑led team, delivering real‑world impact across the Australian health system. To be successful, you’ll have: PhD in a relevant discipline (or equivalent qualifications
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the academic promotions process. About You Completion of a PhD in Molecular Bioscience, and/or Cell Biology. An emerging profile in research in the discipline area. Evidence of publications in reputed refereed
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nonlinear optics, quantum photonics, astrophotonics and nanophotonics. The Centre offers a mentoring program for early career researchers while providing opportunities to hone other skills such as outreach
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, are strongly encouraged to apply. Learn more about the ADM+S Centre here: https://www.youtube.com/watch?v=AkyZpYjxNBc To be successful for this position, you'll have: A PhD in a relevant discipline area, such as
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: Essential criteria A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area, such as statistical machine learning, computational and quantitative