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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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                University of Montreal-CHU Sainte Justine Children's Hospital Research Center | Canada | about 1 month agoProject OverviewSpeech and language disorders affect millions of children worldwide, limiting communication and quality of life. This PhD project will explore the use of Reinforcement Learning (RL 
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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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                The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months agoexperience in optimization, machine learning, control systems, or robotics is desirable. No other specific qualifications beyond and a willingness to learn within an interdisciplinary team. If you have any 
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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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                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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                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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                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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                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