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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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3 Fully Funded PhD Students positions!📍 Remote Sensing Laboratory, McMaster University, Hamilton, Ontario, Canada🗓 Start Date: Spring or Fall 2026The Remote Sensing Laboratory at McMaster
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the subject line “Masters/PhD Opportunity in Liquefaction-Related Topics” and attach the following documents:(1)Statement of Intent (maximum 1 page): Describe how your past education and experiences have
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University of Montreal-CHU Sainte Justine Children's Hospital Research Center | Canada | 30 days ago
Project 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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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
experience 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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Research Council of Canada. We are seeking applications for a PhD student position to begin in the fall of 2026. Candidates should have a background in physiology/exercise physiology or a related discipline
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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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Description Dr. Jordan Guenette is currently recruiting highly motivated students for PhD positions starting in January 2026 or September 2026 in human exercise and respiratory physiology
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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