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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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environmental aspects of integrating the production of SAF with the sugar industry through process modelling and optimisation, technoeconomic analyses, and life cycle assessment. The project aims to develop
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an advantage. Quantitative analysis skills (e.g., statistics, network analysis, or modelling) or an ability and interest to develop these skills would be an advantage. How to apply To apply for this scholarship
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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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development and training program to develop your applied research skills. Successful students are subject to the policies, procedures and guidelines of QUT in addition to the CSIRO Industry PhD Program terms
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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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for this scholarship, visit the Vietnam International Education Development website . About the scholarship QUT is working with the Vietnam Ministry of Education and Training (MOET) through the Vietnam International
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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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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 sociotechnical
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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