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of research evidence to students. About you Evidence of course development, including curriculum development, assessment task development, etc. Demonstrable track record of excellence in the conduct and
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On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices, such as face recognition
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defence algorithms are remain a challenge in the research community. Furthermore, most existing AML algorithms can only apply to Euclidean space. How to extend existing AML algorithms to non-Euclidean and
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based on matched-filter statistics. Detecting the unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary
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of programs and to be actively involved in research, consulting and other professional activities. Furthermore, this role will see you: Develop, engage in and lead high quality research projects
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achieve what neither a human being nor a machine can achieve on their own.The aim of this research is to develop cutting-edge Human-in-the-Loop Machine Learning algorithms that are able to avoid bias
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vegetation data and samples from about 1000 monitoring plots across the Australian continent using standardised survey protocols developed by TERN in collaboration with government, academic and industry
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role in enhancing brand visibility, supporting student recruitment and alumni engagement The role provides strategic input into campaign development, oversees the delivery of social media activities
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) will bring a strong understanding of teacher education in the context of marginalised schools and will contribute to the ongoing development of the Nexus pathway and related course offerings. They will
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Enjoy a balanced academic-clinical role with opportunities for career development. Competitive salary and benefits, including relocation support for the right candidate. Work in a world-class