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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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recognizes hydrogen as an efficient, low-carbon solution to achieving greater industrial sustainability and meeting net-zero targets. Implementing this vision necessitates a diverse array of technologies
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at Faculty of Engineering. Vision We are seeking PhD student that is interested in high pressure reactor systems that can be used to produce high value molecules from lignin rich wastewaters that arise from
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Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering. Vision We are seeking PhD student that is interested in high pressure reactor systems that
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conducts cutting edge research into enabling technologies for future aircraft applications. Vision We are seeking PhD student that is motivated to conduct research in electrical power system stability
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for future aircraft applications. Vision We are seeking PhD student that is motivated to conduct research in electrical power system stability for future aircraft applications. Together we will make
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, computer vision or flow measurement background. Prior experience in computational modelling is beneficial, but not mandatory. Similarly, experience of computer coding in some form or any discipline is also
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combination of academic and industrial challenges which will enhance the student’s ability to tackle complex intellectual and practical aspects of computer vision and robotics. We are seeking talented