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planning algorithms for GPS-denied lunar environments and extreme operational conditions stochastic optimisation frameworks for mission-critical decision-making under uncertainty Research areas and technical
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28 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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-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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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 hours ago
to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project. Computational
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 hour ago
postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 19 hours ago
: PD&PEWER Level A&B Postdoctoral - Research Fellow _ CSS.pdf This position will provide opportunities to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited
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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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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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modelling, and the economics of mental health Support economic analysis of healthcare utilisation, outcomes and costs using national datasets Develop and apply algorithms for cost-effectiveness analysis
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and