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to contribute to research on hybrid numerical-exponential asymptotic methods and their applications at the University of Sydney Base Salary, Academic level A $105,117 - $121,054 p.a + 17% superannuation About the
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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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of the selection criteria below. About you Completed PhD or near completion (within 6 months) in Psychology, Public Health, Behavioural or Social Sciences, or related field; Proven experience conducting research
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to the development of new concepts, methods, and scalable systems for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of
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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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capture systems (such as RedCAP etc.) Endnote files, electronic medical record (EMR) and databases knowledge of qualitative and/or quantitative research methods knowledge of the National Statement
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participation in committees and community engagement activities. About you as a Research Fellow (Level B): Completed PhD in Aboriginal and Torres Strait Islander Health, Mental Health, Social and Emotional
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are looking for candidates who are passionate about applying research to industrial challenges. You will have: Essential: A PhD in materials science, mechanical engineering, manufacturing engineering, or a
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business hours on occasion and travel to the trial sites as necessary. About you undertaking a PhD or has completed an Honors year in psychology or a relevant field demonstrated experience in face-to-face