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Status: Open Applications open: 4/04/2022 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information In many safety-critical workplaces
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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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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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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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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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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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communication analysis to promote consumer engagement in respiratory-related media campaigns in community pharmacies and their impact. This includes the development of an implementation toolkit and its
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution