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November 2026). About the area UWA Child Care Services provides an Early Learning Centre that offers part-time and full-time care to children aged six weeks to five years. Management and staff aim to provide
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the shortcomings of these techniques, deep learning is more and more involved in static vulnerability localization and improving fuzzing efficiency. This project aims to deliver a smart software vulnerability
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Child Health at UNSW UNSW Medicine & Health is a national leader in learning, teaching and research, with close affiliations to several of Australia’s finest hospitals, research institutes and health
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hands‑on, competency‑based learning aligned with VET and regulatory standards. This includes developing resources, maintaining industry‑relevant content, and creating an inclusive, supportive learning
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research in areas such as machine learning, clinical decision-support, medical imaging, and data-driven health services innovation. The position is expected to develop an independent research profile
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phenomenon that has the potential to shift an established photochemical paradigm. The research will involve a range of computer modelling methods and techniques in the areas of theoretical and computational
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students in the MD program. Act as a trusted point of contact, helping students navigate wellbeing, learning and academic challenges. Work collaboratively with academic support teams, Year Committees
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an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and agricultural datasets proficiency in R and/or
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maintenance of plans and registers. High level of experience working with a range of computer systems and applications, such as MS Office, MS Project, Altus, JIRA, Confluence. Excellent interpersonal skills and
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. Demonstrated ability to contribute strategically to the work of the team, co-ordinating project work to ensure the delivery of programs and initiatives. Advanced level of computer literacy with excellent skills