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opportunity to be part of an ARC funded project with the Queensland Department of Education, and to also work with researchers from Griffith University and University of Southern Queensland. The candidate will
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-edge AI/ML algorithms to pioneer innovative solutions for optimizing smart motorways and/or arterial traffic flow. By leveraging these technologies, the project endeavours to develop and test smart
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Mathematical and numerical models of piezoelectric wave energy converters (MPhil or PhD scholarship)
into question 2 of the financial details section. About the scholarship This scholarship is funded by an Australian Research Council Discovery Project that aims to develop mathematical and numerical models
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social and cultural challenges and possibilities of Generative AI. Staffed by a multidisciplinary team led by Distinguished Professor Jean Burgess, the Lab aims to develop, disseminate and apply new
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to develop, disseminate and apply new sociotechnical research capabilities specific to Generative AI, combining critical, technical, and externally-engaged approaches. The GenAI Lab is aligned with QUT’s
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on addressing the emerging social and cultural challenges and possibilities of Generative AI. Staffed by a multidisciplinary team led by Distinguished Professor Jean Burgess, the Lab aims to develop, disseminate
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evolve the power system stability and strength assessment framework to suit weak electricity grids with substantial renewable sources. It expects to develop a digitalized approach where comprehensive
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drug- and vaccine-delivery systems. Despite the potential for numerous technology applications for this family of molecules, comparatively little effort has been made to develop the analytical tools
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considered in pain models that could be targets for new therapies. use the model to develop more efficient pathways and new pathways to consider for neuropathic pain.
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to integrate findings from other PhD projects into the broader research objectives investigate the use of DMS data to enhance decision-making capabilities of advanced driving systems develop algorithms and