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at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located. McGill University is an English-language
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willing 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
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to work in Canada and willing 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
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 16 hours ago
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 team using the contact
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learning, offers powerful solutions to automate these tasks and provide reliable real-time information. This doctoral project is part of a 5-year research chair on Computer vision applied to the swine sector
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engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
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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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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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) 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