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. Accepted candidates are expected to enrol at UBC and be primarily based in Vancouver (Canada), though candidates will interact with national and international collaborators.The general aim of the research
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rapid and significant shifts in power consumption, next-generation high-performance computing (HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs
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) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
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retrieving, storing and organizing large amounts of sensor/equipment data. Experience in building data-driven and simulated models using advanced data analysis techniques, including predictive timeseries
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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in combination with data from automatic milk feeders. Integrating all these data into artificial intelligence (AI) models will enable faster and more accurate detection of early signs of respiratory
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observing, data reduction and analysis, instrumentation and software development, modelling and simulations) involving instrumentation for or astronomical datasets from radio telescopes. Demonstrated radio
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). Lesion and anomaly detection in biomedical/industrial imaging. Development of robust models transferable to real-world environments. Use and development of 3D reconstruction techniques. Candidate Profile
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for criteria-based Affiliated Fellowships, students should submit the checklist of criteria-based affiliated fellowships to their graduate program by the application deadline. Nomination Procedures Graduate
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: remote work based in Vancouver would not count as part of the minimum 6 months period. Travel must begin no earlier than June 1, 2025 and no later than May 31, 2026. The total time span of the travel must