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EngD: Enhancing productivity in manufacturing through automation and autonomy in computer aided process planning (sponsored by Boeing) EPSRC Centre for Doctoral Training in Machining, Assembly, and
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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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Using Brain Computer Interface to Improve Cognitive Performance School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications
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Computer Vision for manufacturing applications, such as automated inspection and component validation. Housed within The AMRC’s innovative Factory 2050, the team has grown organically over the last seven
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subjected to a typical loading scenario. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including
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computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including mechanical testing and links with industry and with our Advanced Manufacturing
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online provision of the pre-sessional courses you will need: a modern laptop or desktop computer in very good working order (Windows 11 or macOS Tahoe 26.1 preferred) a headset (strongly recommended) or
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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Relevant Discipline. • Experience in numerical modelling/materials. • Strong mathematics, physics, and computer programming skills. If English is not your first language, you may be required to provide
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computer programming skills. If English is not your first language, you may be required to provide evidence of English language proficiency (e.g. IELTS or TOEFL), in accordance with the University