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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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imaging technologies. Our research portfolio spans development of new treatment ideas, clinical trials, preclinical imaging, device development, MRI-Physics, radiation therapy physics, and computational
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contribution of 17% superannuation applies. 24 Months Fixed term Part time position until Oct 2027. This postdoctoral position in computational cognitive science and data science offers an exciting opportunity
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undertaking independent and or team research on Scientia Professor Buckley’s Australian Research Council (ARC) Laureate Research Program entitled “The Financial Data Revolution: Seizing the Benefits
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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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believe everyone has the right to good health. As the oldest and largest health management program in Australia, our School is a pioneer in public health, global health, infectious diseases intelligence
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seven schools, spanning engineering, computer science and project management, see the University of Sydney consistently rank amongst the best engineering universities in Australia and the
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Research Associate in Child Psychology with specific skills in digital mental health and measurement to manage the Growing Minds Check-In (GMCI) program of research, a Flagship Trial of the Growing Minds
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Full time 20 month fixed opportunity. Located in the Civil Engineering Building on the Camperdown Campus Advance sustainable mining through granular material mechanics Base Salary Level A Step 6 - 8 $113,400 - $121,054 + 17% superannuation About the opportunity The School of Civil Engineering at...
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ambitious research program to investigate the intersection of plate tectonics, critical metals, and Earth's habitability by trying to better model the Earth’s surface evolution from 1800–500 million years ago