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: Master’s degree in computer science, computer/software engineering, applied mathematics, artificial intelligence, or a related field. Strong skills in deep learning (e.g., PyTorch/TensorFlow). Experience in
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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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University of Montreal-CHU Sainte Justine Children's Hospital Research Center | Canada | about 1 month ago
-Language Pathology, Neuroscience, Psychology, Cognitive Science, Biomedical Sciences, Biomedical Engineering, or related field.-Experience with machine learning (preferably RL) and applications in health
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Staff - Union Job Category CUPE 116 Job Profile CUPE 116 Hourly - Research Assistant /Technician 4 Job Title Research Assistant/Technician 4 Department Yang | Department of Civil Engineering
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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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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
Tortell in the Department of Earth and Ocean Sciences. We are hosted within the Departments of Mechanical and Electrical & Computer Engineering on UBCs Point Grey campus on the unceded lands
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View All Awards Deadline Likely in September 2025 Value $18,000/year for two years Citizenship Canadian Permanent Resident International Degree Level Doctoral The Canadian Institute for Military and
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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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(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