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sources of evidence such as audio, physiological activity and characteristics of the students). This project aims to develop methods for supporting teachers in reflecting on their positioning strategies in
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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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(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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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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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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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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: 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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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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content creation software, assessment designs, evaluation methods, multimedia learning theory, universal design principles, and project management. For candidates that demonstrate a quality track record of
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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