39 10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning PhD positions at Queensland University of Technology
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will be expected to work closely with the supervisory team and RACQ to co-develop a research proposal not have had any serious road safety offences in the previous 10 years, or any charges currently
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scalable model of care to address this gap. The PhD research should add value to the existing grant, and may explore a supplementary area, including but not limited to: Multimorbidity post-sepsis Health
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@qut.edu.au About the scholarship This PhD project will identify risk factors contributing to malnutrition after the completion of cancer treatment to inform personalised nutrition strategies. The candidate
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed
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to complete a PhD on the multiple and contested practices, norms, and understandings of GenAI among academic users in their research and publishing activities. The scholarship is part of the Generative AI and
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outcomes of this project include innovative methods for robot learning to improve shared movement quality. The PhD candidate will research movement and choreographic structures applied to human-robot
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leading health services research environments with other PhD students, research staff and members of the dynamic Australian Centre for Health Services Innovation (AusHSI) at the School of Public Health and
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stakeholders. The PhD candidates will be part of the Australian Centre for Health Law Research . The centre is Australia’s largest group of health law researchers. We conduct interdisciplinary and innovative
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of Australia’s leading health services research environments with other PhD students, research staff and members of the dynamic Australian Centre for Health Services Innovation
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use