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various methodologies and methods to critically assess and/or propose (re)designs of digital technologies. These research projects will examine technology design and use, focusing on the intersections
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analysis and data processing. Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction or climate models. Knowledge of machine learning, AI techniques, and
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for this scholarship you must: Have a first-class Honours degree in Computer Science or equivalent Have strong computational, programming, algorithms, and data analysis skills Provide evidence of adequate oral and
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leukemia (AML) is a major hurdle for successful therapy. MicroRNA (miRNA) are small RNA with critical roles in most cellular processes that can promote diverse diseases when disrupted. Aberrant miRNA
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conceptual and methodological framework to address this emergent more-than-human politics. A thoroughgoing critical analysis of frameworks of environmental governance is needed, alongside the development
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relevance across various surgical procedures and patient groups. Objectives 1. Algorithm Development: (a) Design and implement a deep learning algorithm for CT scan analysis. (b) Train, validate, and test the
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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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. Policy support is critical to accelerate their adoption but has faced setbacks and delays in Australia due to political resistance and low social acceptance. A key problem is that the models used
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-athletes. Leveraging state-of-the-art artificial intelligence (AI), markerless motion capture and stereo vision technologies, this research will tackle critical challenges in biomechanics and sports science
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-classic hybrid system integration, to enhance the security landscape of mission-critical and safety-critical systems. This project is aimed at developing platforms to provide security in the post-quantum