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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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(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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Engineering (PhD) Wood fly ash-based self-healing concrete using encapsulated chemical agents Alex Lukey Doctor of Philosophy in Population and Public Health (PhD) Preventing ovarian cancer: Human vs. machine
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control subjects based on diffusion MRI images and functional MRI responses. Duties include: Developing machine-learning and/or deep learning pipelines for classifying patients of optic neuropathies and
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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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, and state-of-the-art infrastructure. Our model empowers visionary leaders to accelerate drug development and harness AI-driven innovation to address unmet medical needs. Benefits of Working with Great
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développement de nouveaux matériaux magnétiques composites et d'inducteurs de puissance intégrés à noyau magnétique à base de ces matériaux, qui seront utilisés pour mettre en œuvre des IVR à haute fréquence et à
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innovative solutions and providing Research & Development support to industry partners, with the goal of accelerating the commercialization of bio-based products. The successful candidate will exemplify our
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at the Cardiopulmonary Exercise Physiology (CPEP) Laboratory through The University of British Columbia (UBC) Rehabilitation Sciences Graduate Program. We are seeking applicants with: A thesis-based master’s degree in a
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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