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the security foundations that protect a leading university and shape cyber resilience for the future! Macquarie University's digital landscape is growing in scale and complexity, and with it, the need
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provides operational support to the University’s cyber security team. The primary focus of this role is the routine monitoring of security dashboards, assisting with the administration of vulnerability
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Information Technology Industry-Based Learning Placement Grant This grant is awarded to high achieving students in the Faculty of Information Technology who undertake a placement with an industry
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Faithful and Salient Multimodal Data-to-Text Generation Primary supervisor Teresa Wang Co-supervisors
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/Siri manipulation and the autonomous car accidents. Developing secure and trustworthy DL systems is challenging, especially given the limited time budget. For traditional software, the software
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Performing security verification This website uses a security service to protect against malicious bots. This page is displayed while the website verifies you are not a bot. Verification successful
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to this role is subject to provision of a national police check and may be subject to other security/medical/character requirements. Child safety CSIRO is committed to the safety and wellbeing of all children
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information. The opportunity As the Power Platform Engineer, you’ll play a key role in building and supporting enterprise‑scale Power Platform capabilities that are secure, scalable and fit for purpose. You’ll
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This project heavily focuses on maps (e.g. GoogleMaps or Open Street Map). We will explore various properties of road networks, including the granularity of road networks, routes and trajectories on road networks, and query processing on road networks. A number of inter-disciplinary...
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to real-life data. The goal is to generate new knowledge in the field of time series anomaly detection [1,2] through the invention of methods that effectively learn to generalise patterns of normal from