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Field
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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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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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to the project. Job Requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. Min 3 years of relevant experience in computer vision, artificial intelligence, etc
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We invite applications for a Research Fellow in Computer Vision to join an exciting interdisciplinary project between the Centre for Intelligent, Sustainable Computing and the Centre for Public
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Full-time, 2-year fixed-term role, with the possibility of extension An exciting opportunity to join the Snow Vision Accelerator Program either as a Postdoctoral Research Associate or Postdoctoral
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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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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acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision. What we’re looking for: A PhD/Master in Electrical and Computer
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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