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: Experimental evaluation of biomarker behaviour under differing rehydration strategies (i.e. water-only versus electrolyte-supported rehydration). Data analysis and classification framework Data collected across
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medicine, health sciences, information technology, and behavioral science, with cross-institutional links to Monash Malaysia. The PhD Project: Project Title: AI-enabled personalised coaching for physical
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statistical data science. How to apply Apply for this scholarship at the same time you apply for admission to a QUT Doctor of Philosophy . To apply, email Associate Professor Nicole White and include your
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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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the DFG-funded IRTG 2818 / OPTEXC framework), candidates complete an extended research stay of 6 to 12 months at the partner institution. Doctoral researchers gain access to cross-continental industry links
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intergenerational connections, educational leadership, cultural oversight, and data sovereignty. Deadly Dreamingaims to improve health outcomes for older Aboriginal and Torres Strait Islander peoples by addressing
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electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our theoretical understanding of gravity and the most extreme regions of the Universe. I am a member of the
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for an outstanding PhD candidate to undertake an Industry Linked PhD at Monash University in collaboration with Aervision Pty Ltd , an Australian AI company developing advanced video analytics solutions for critical