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programming (R or Stata preferred), and scientific computing Excellent problem-solving, planning and written communication skills Experience working with health-related data and modelling methods A
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-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance analytics into the future of infrastructure and
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contributes to a nationally funded research program focused on improving bowel cancer screening, early detection, and treatment in rural and remote communities—particularly among Aboriginal and Torres Strait
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(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity If you are passionate about computational modelling, thrive on solving
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networks and/or probabilistic graphical models; and causal inference. An outstanding publication record in top tier machine learning and/or computer vision conferences or journals, commensurate with
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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27 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Australia
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ecologists and modellers. Marine Spatial Ecology Lab (MSEL) is a dynamic group conducting world-leading coral reef research. MSEL’s portfolio spans reef ecology, ecosystem resilience, fisheries rebuilding