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'', Springer (Link to the preface [and p vi, also here]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE
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team to ensure the look, feel, and usability of online curriculum systems for the MD program Collaborate globally: Work with teaching teams across Victoria and Malaysia to ensure a seamless, world-class
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. The Learning Adviser is responsible for the delivery of programs and services that support students academic success. The position works closely with the Learning Adviser Leads and Program Manager to develop
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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of a team as well as the ability to exercise independence and judgement where required Highly developed computer literacy, including experience using business software such as Microsoft Office Strong
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Lecturer / Senior Lecturer in AI for Health/Biomedicine Job No.: 686931 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $118,974 - $141,283 pa Level B / $145,740 - $168,049 pa Level C (plus 17% employer superannuation) Amplify your impact at a...
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evaluation Applications of AI in biomedical research This project is suitable for students with an interest in genetics, computational biology, or data science. A background in statistics, computer
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the School of Educational Psychology and Counselling. These positions will contribute to strengthening innovation and scholarly engagement across the program. As a Teaching Fellow, you will support the
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Empirical studies in Information Visualisation research have become more commonplace in the past two to three decades. While formerly the research focus was primarily on utilising the power of novel technologies for presenting data and information in innovative ways, perspectives have changed...
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and