673 postdoc-in-distributed-systems-and-controls-"Multiple" positions at Monash University
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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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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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
the synthesis and assembly of these cell surface proteins. A major and complex means by which bacterial gene expression is regulated to control surface protein production depends on RNA-RNA interactions
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PhD Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type
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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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, 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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Machine learning is being used to make important decisions affecting people's lives, such as filter loan applicants, deploy police officers, and inform bail and parole decisions, among other things
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Remote Systems Support Analyst Job No.: 684634 Location: Clayton campus Employment Type: Full-time Duration: 12 months fixed-term appointment Remuneration: $83,424 - $95,825 pa HEW Level 05 (plus 17
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Diabetes can be effectively controlled by maintaining a healthy diet, well-managed blood glucose level and regular physical activity. Evidence suggests that improving dietary habits can play a
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PhD Scholarship in Australia’s Climate Economy Job No.: 685749 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful applicant