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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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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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(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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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the hiring
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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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student to start in September 2025 (preferably) or January 2026 to study aspects of sensory physiology and learning in the context of pollination ecology. Using honey bees and other arthropods, 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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Masters Doctoral The Friedman Award for Scholars in Health supports learning and research opportunities for graduate students or medical residents working in the broad area of health, to bring new
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to work in the province of Quebec at the campus where the position is based / located. McGill University is an English-language university where most teaching and research activities are conducted in