371 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" research jobs in Australia
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Campus About This Opportunity The Centre for Integrated Preclinical Drug Development (CIPDD), based in UQ’s School of Biomedical Sciences, is seeking a passionate Research Officer to join our dynamic team
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. • Macquarie University (North Ryde) location Exciting opportunity for an enthusiastic Research Assistant with an interest in Neuroscience and Drug Development to work with a dedicated team of researchers
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contribution of 17% superannuation applies. Fixed term, full-time position for 2 years. This postdoctoral position offers an exciting opportunity to develop innovative digital tools to support wildlife crime
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University of Western Sydney | The University Of Sydney, New South Wales | Australia | about 2 months ago
of Superannuation + Leave Loading About The MARCS Institute The MARCS Institute for Brain, Behaviour and Development is an interdisciplinary research institute of Western Sydney University. The vision
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challenges: Successful candidates will contribute to one or more of the following research domains: development of autonomous navigation and path planning algorithms for lunar terrain traversal and regolith
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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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data into clinical impact. They will be responsible for developing algorithms for image analysis, creating predictive models for disease progression, and identifying patterns in imaging data
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Australian National University | Canberra, Australian Capital Territory | Australia | about 21 hours ago
at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks
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modelling, and the economics of mental health Support economic analysis of healthcare utilisation, outcomes and costs using national datasets Develop and apply algorithms for cost-effectiveness analysis