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Future Fund–supported program (2026–2030) to reduce addiction, self-harm, and mental ill health. The project integrates 20 years of binational cohort and cross-sectional data with administrative datasets
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Future Fund–supported program (2026–2030) to strengthen evidence on addiction, self-harm and mental ill health. The multidisciplinary study will analyse 20 years of binational cohort and cross-sectional
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3 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Economics Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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research outputs, including peer-reviewed publications and presentations to academic and government stakeholders develop a coherent research program and an emerging research profile support and supervise
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research program with multiple Aboriginal communities and other stakeholders to enhance rock art research and management within Western Australia. Pilbara Dreaming: Rock Art, Water and Heritage Futures will
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presentation skills, with the ability to engage effectively with diverse audiences. Highly organised with strong planning, research, and computer literacy skills to manage research projects and administrative
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School of Electrical Engineering and Computer Science Full-time, fixed-term position for up to 3 years Base salary will be in the range $104,209.38 - $111,431.10 + 17% Superannuation (Academic Level
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research in any discipline at an Australian university. The Fellowships are offered annually for the second and subsequent years of a doctoral program. SHARE JOB Find out more National AGW Fellowships AGW
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. Demonstrated computer skills, ie. MS office suite including spreadsheets. Experience/knowledge of qualitative research methods. Experience/knowledge of basic data science database programs, statistical software
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for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of an ambitious research program to advance how digital twins, agentic AI