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fuels through rheological control. The project also encompasses fundamental kinetic modelling, mechanistic studies using in-situ spectroscopy, and preliminary techno-economic assessments for future scale
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, teams are adapting to significant technological advances accompanied by great volumes of incoming data. Such changes have the potential to improve capabilities in complex and uncertain conditions, but
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and expertise and to contribute broadly to the goals of improving Victorian MCH service delivery. For example, project ideas may include: Models of Relational and Continuity of Care in MCH Contemporary
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Council) PhD scholarships are funded via the ARC discovery project “Modelling, Design and Development of a Novel Wave-Energy Converter”. The purpose of these scholarships is to support outstanding students
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pregnancy care, health service delivery and models of care and provision of culturally appropriate care. Interested applicants should refer to the PhD entry requirements: www.monash.edu/graduate-research
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
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and adolescent mental health and wellbeing outcomes in educational settings. Schools are complex collaborative environments for supporting the mental health and wellbeing of young people. This project
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models of road safety beyond the individual risk and protective factors to include community and societal influences. While ecological approaches have been applied in the past, the combination with