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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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: 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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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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) 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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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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(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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Electrical & Computer Engineering, East Tennessee State University, and the Ludwig Maximilian University of Munich. Completion of a research-based master’s degree is required prior to commencing the PhD
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of Philosophy (MDPhD) Temporal Transcriptomics and Epigenetic Changes in Sepsis Survivors Alex Lukey Doctor of Philosophy in Population and Public Health (PhD) Preventing ovarian cancer: Human vs. machine
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for data analytics to support both fundamental discovery and development of medical microdevice technology in areas such as in vitro diagnostics, precision medicine, space research, and food/water safety