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PDF, Dev of new porous transport layer architectures for Proton Exchange Membrane Water Electrolysis
the SuccessFactors Careers module from your NRC computer.
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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skills. Demonstrated ability to work independently and as part of a team with minimal supervision. Demonstrated capacity to deliver high-quality project outcomes in a timely manner. Computer programming
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architectures and technologies for artificial intelligence., with a weighting of 50% The final classification of the candidate's merit will be obtained by applying the following formula: MC = (A.1 x 0.6) +(A.2 x
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at the time of hire. PhD in computer science, data science, or related discipline Track record of publications in Artificial Intelligence and Deep Learning in peer-reviewed conferences and journals
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of the physical world, from shops to museums, cars to classrooms. Despite significant progress in computer vision, long-standing fundamental challenges adversely impact on audio technologies, preventing immersion
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innovations in computer vision and computer graphics (segmentation, registration, tracking and visualisation) to enable real-time interaction for surgical planning and decision making. The project will provide
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deadlines by using judgement and initiative. Experience working with a range of computer systems and applications. Extensive experience and appropriate certifications for SCUBA diving (e.g. PADI Scientific
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resources *If you are currently a term or continuing employee at NRC, please apply through the SuccessFactors Careers module from your NRC computer.
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combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC