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in Manchester and Manufacturing Site in Slough. Cutting-Edge Research Environment: Access state-of-the-art facilities and join a vibrant, supportive research community (around 20-25 people involved in
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of society. The Faculty of Engineering provides a thriving working environment for all PGRs creating a strong sense of community across research disciplines. Community and research culture is important to our
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are made by such techniques is still an open problem. Although these techniques have been successfully demonstrated in laboratory environments, however, the barrier to deploying such pure-data-driven black
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or machine learning. Excellent programming skills (e.g., MATLAB, Python, or ROS), a strong publication record, and an ability to work collaboratively in multidisciplinary environments are essential. Prior
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of a vibrant and interdisciplinary research environment, working closely with physicists, biologists, and engineers. You will also have the opportunity to present your research at international
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Environmental Control Systems (AID, ECS): A full-scale Boeing 737-400 aircraft equipped with instrumentation for studying environmental control systems and other onboard systems, providing a realistic environment
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supervisors, we strive to create an enjoyable, inclusive, and productive team environment. You are encouraged to contact us and speak with previous PhD students about what to expect (e.g. see SHOALgroupalumni
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The successful candidate will work in a highly interdisciplinary environment as part of a vibrant cohort of HDR UK-funded PhD students, with outstanding networking opportunities with fellow students
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computational models that help us interpret and control how language is generated and understood by AI systems. The selected student will join the University’s vibrant research environment and will be encouraged
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the scalability and robustness of AI in complex environments which is a major step towards the digital transformation of the manufacturing industry. Motivation Automation is key to meeting the growing demand