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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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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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A $86,584-116,679 + 17% superannuation About the opportunity The School of Medical Sciences is recognised as one of the leading centres for medical science education in the world. With over 100 years
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leading Chemistry department in the country, with outstanding staff and students undertaking world-leading teaching and research. The School has more than 30 academic staff, 100 research staff, and 100
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Phase 1 with AI to develop predictive maintenance capabilities and extract insights about the manufacturing process, such as: Identify any key parameters in the mfg process that impact material
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communication, collaboration, and alignment across multiple organisations involved in the project develop and implement novel approaches for assessing soil health using remote sensing, integrating cutting-edge