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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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(Honours) program. This student-centred course is designed to prepare graduates for meaningful, person-focused practice. You will lead and support teaching in areas that explore the psychological and
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Anomaly detection methods address the need for automatic detection of unusual events with applications in cybersecurity. This project aims to address the efficacy of existing models when applied
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Study lipid–protein–polysaccharide interfaces in complex biological media Conduct research involving cell culture, bacteriology, and compositional analysis Develop and optimise equipment and methods
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural
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members. This initiative provides students with the opportunity to apply independent thinking and problem-solving skills to develop or enhance products, methods, or services. Projects may be self-contained
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to the programmer to quickly resolve type errors and support there understanding and propagation of types throughout their program.
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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: pro-rata $120,138 - $132,610 + 17% superannuation The mitoHOPE program is seeking a communications specialist to support program research and operational outcomes. Central to the role will be
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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon...