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Field
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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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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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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
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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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The EPSRC Postdoctoral Pathway supports EPSRC-funded PhD graduates who are excited about taking the first steps towards research independence with a two-year Fellowship. The scheme offers
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is aimed at technical innovations in computer vision and computer graphics (segmentation, registration, tracking and visualisation) to enable real-time interaction for surgical planning and decision
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Fixed term contract 35.0 hours per week The role The EPSRC Postdoctoral Pathway supports EPSRC-funded PhD graduates who are excited about taking the first steps towards research independence with a
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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machine learning and/or image analysis/computer vision A solid and documented background in machine learning, mathematics, linear algebra, and/or statistics Documented knowledge and experience in Python