6,455 parallel-and-distributed-computing "Computer Vision Center" positions in Australia
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students a chance to explore cutting-edge concepts in AI-driven infrastructure management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research
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. Eligibility For students who are intending to enrol full or part-time in an undergraduate degree at the University of Waikato Tauranga campus. Students must be at least 21 years of age and not
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computing infrastructure and delivers bespoke technology support for Faculty of Science equipment. This can include associated computing hardware/firmware, operating systems, applications, software
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collaborations across engineering and computer science. With a particular focus on growth areas including defence, sustainable energy, artificial intelligence and cybersecurity , you will help position the
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multimodal AI Ability to implement <b>and</b> evaluate machine learning models independently Commitment to reproducible research, critical analysis, <b>and</b> publication Experience with deep learning, audio analysis, or affective <b>computing</b> is advantageous but not mandatory. Learn more...
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multimodal AI Ability to implement <b>and</b> evaluate machine learning models independently Commitment to reproducible research, critical analysis, <b>and</b> publication Experience with deep learning, audio analysis, or affective <b>computing</b> is advantageous but not mandatory. Learn more...
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Primary supervisor Floyd Mueller Research area Creative Technologies The rise of technology that supports a partnership between user and computer highlights an opportunity for a new era of “human
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Primary supervisor Floyd Mueller Research area Creative Technologies The rise of technology that supports a partnership between user and computer highlights an opportunity for a new era of “human
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. Deep expertise in Linux and HPC architecture, including heterogeneous CPU/GPU compute, workload scheduling, high-speed interconnects, parallel or distributed file systems, cluster management, artificial
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truck. Computing the location and time of these connections remains an unsolved computational challenge. This project will create new algorithms for calculating cost-effective and time-efficient routes