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Apply now Job no:529867 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate Postdoctoral Researcher (Computational Immunology and Translational AI) Employment Type
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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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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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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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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looking for a Postdoctoral Research Associate who has: a PhD in a quantitative field (e.g., physics, mathematics, computer science) interest and experience in simulating and analyzing multivariate time
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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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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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to: contribute to an interdisciplinary research program investigating the biochemical properties of a novel enzymatic oxygen sensing system and its role in low oxygen diseases facilitate drug discovery efforts
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take initiative and work independently while managing competing demands. Demonstrated experience providing effective customer service and support to clients at all levels. Demonstrated computing skills