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academics into its Software Systems and Cybersecurity and Data Science & AI Departments. The Department of Data Science & AI is seeking a Teaching & Research academic working in Large Language Models and
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 1 month ago
to provide any further documentation or information regarding the checks until directly requested by UNSW. Visa sponsorship is not available for this position. Candidates must hold full rights to work in
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2026 Applications close: 7 Mar 2026 The information listed here is subject to change without notice. Where we have listed information about jointly run scholarships programs, please also see our partners
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strong response plans, equipping teams with practical tools, and using incident data to drive continuous improvement. As a Senior Coordinator, Critical Incident Prevention & Planning, you will: Develop and
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of scientific, technical documents and presentations of data to clients. About You Completion of a degree level qualification in a relevant science-related discipline. Sound laboratory skills and experience
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be contacted. Applying to the Casual Register does not guarantee employment. Further Information: Northern Territory Government legislation (the Care and Protection of Children Act 2007) now requires
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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to drive engagement and strengthen JCU’s domestic brand presence. Analyse campaign data to identify opportunities for improvement, you will provide actionable insights to enhance reach and effectiveness
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for ensuring the accuracy, integrity, and efficiency of donor data, gift processing, and related administrative functions. This role underpins the success of fundraising and engagement activities by maintaining
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work. The Coastal and Regional Oceanography group at UNSW is a dynamic team of researchers, including academics, postdocs, data scientists, field going technical staff, and PhD students conducting