636 embedded-system "https:" "https:" "https:" "https:" "UCL" positions at Monash University in Australia
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In
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, and costs of running diverse applications in large-scale distributed systems. This project offers researchers and students a chance to explore cutting-edge concepts in AI-driven infrastructure
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computational techniques can be combined with classical systems to improve performance, scalability, and solution quality for tasks such as: Similarity search and nearest-neighbour queries Graph and routing
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Research Fellow - Analog/RF IC Design for Portable Radar System Job No.: 691720 Location: Clayton campus Employment Type: Full-time Duration: 2 Years fixed-term appointment Remuneration: $83,280
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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Manager, Program Quality and Systems Job No.: 690141 Location: Clayton campus Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $120,138 – $132,610 pa HEW 08 (plus
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of tranditional software, the operations of intelligent software systems are in urgent needs as more and more are depolyed and used in practice. This project aims to explore an effective operation solution
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Lecturer (Education Focused) - Electrical and Computer Systems Engineering Job No.: 688449 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $118,974
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development — core technologies for the next decade of AI-powered engineering. This is a collaborative research project with Atlassian. Check out some recent work: - https://www.atlassian.com/software/rovo-dev
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Science is a public good. The benefits of knowledge are or should be available to everyone, but the way this knowledge is produce often responds to individual incentives [1]. Scientist are not only