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Department Manager Job No.: 681611 Location: Caulfield campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $120,138 - $132,610 pa HEW 08 plus 17% employer superannuation Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be...
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The existing deep learning based time series classification (TSC) algorithms have some success in multivariate time series, their accuracy is not high when we apply them on brain EEG time series (65
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- and the people who discover them The Opportunity The Cyber Security Project Manager is responsible for managing the end-to-end delivery of multiple projects as part of the cyber program with significant
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will provide new models and algorithms for energy-transport integration, advancing the knowledge of mitigation strategies for sustainable urban development. #sustainability PhD student role description
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program assisted greatly in framing my perspectives of Singapore and region, identifying problems faced but also developing the leadership skills to craft solutions to them. There is also significant heft
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driven and meticulous Research Officer to support a ground-breaking program at the forefront of gastrointestinal cancer research. Based within the Gastrointestinal Translational Research Laboratory
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Message Length '', 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
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accreditation standards is essential, along with strategic leadership in the HDR program to attract and guide exceptional research students. In addition, the successful candidate will provide strategic and
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centre networks. It combines strategic planning with deep technical expertise to ensure our research computing environments are future-ready, reliable, and secure. You will be responsible for ensuring
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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