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AI, and collective decision making in complex sociotechnical systems investigate new concepts and develop methods for digital twins as dynamic decision infrastructure with human oversight design and
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key responsibilities will be to: work on an ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods
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want to create an environment of world-leading teaching and research where individuality is welcomed and celebrated. We are continuously working to identify and remove biases and barriers in an effort to
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cared, nursing, education and infection prevention and control. Our project will establish the governance requirements for, and elements of, infection prevention and control programs in residential aged
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intensive and has a strong tradition of research-led teaching. The School offers undergraduate majors in computer science, information systems, data science and software development within its flagship
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dynamics in complex, large-scale project systems develop formal, computational, or simulation-based models to study how decisions, incentives, feedback, and learning evolve over time in megaproject
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impact. Your key responsibilities will be to: conduct high-quality, original research on AI-enabled decision-making dynamics in complex, large-scale project systems develop formal, computational
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, including parameter optimisation and advanced monitoring techniques. Develop and refine process models, simulations, and automation strategies. Characterise microstructure, wear behaviour, and corrosion