33 algorithm-development-"Prof"-"Prof"-"Prof" positions at UNIVERSITY OF SYDNEY in Australia
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a Research Infrastructure? No Offer Description Work on collaborative research projects as a Research Assistant to coordinate and support the projects associated with the Child Development and Mental
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Work on collaborative research projects as a Research Assistant to coordinate and support the projects associated with the Child Development and Mental Health Clinical Academic Group and the
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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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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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research program advancing carbon-neutral energy systems modelling for Australia's energy transition. This role focuses on the development and application of advanced forecasting and scenario analysis
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Operations directly shapes the work environment and culture, working in partnership with the Stream Managers to build their leadership capabilities, manage people challenges and risk, and develop and support
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, north and southwestern regions of New South Wales. We are committed to providing the best educational experiences and supporting pertinent research in order to support the growth and development of rural
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largest division of the University of Sydney, and is dedicated to attracting and developing the brightest minds in health education and research to make and shape the future of health. Sydney Local Health
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trust survey informed by current academic literature. This role will work with third-party platforms such as Qualtrics to support the distribution of the survey and assist in developing appropriate sample
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developing targeted therapies that eliminate these treatment-resistant cells. Cancer stem cells are increasingly recognised as key drivers of tumour growth, relapse, and resistance to conventional therapies