42 Computer-Science "University of Liverpool " PhD positions at Cranfield University in United Kingdom
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for Digital Engineering and Manufacturing (CDEM). The Centre hosts cutting-edge simulation and visualisation facilities. The student will have access to high-end computers for simulating the complex nature
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upgrade water treatment infrastructure and increase its resilience using nanobubble technology as a chemical-free approach. The successful candidate will work closely with the water industry to develop
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learning from in-service vehicle fleets and predicting remaining useful life. Applications of artificial intelligence and computer science to battery state estimation. Reduced-authority control of hybrid
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Applicants should have a good first degree in mechanical/aerospace engineering or computing, maths or physics or any other relevant topic. An MSc or relevant work experience will be beneficial. Knowledge
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have an equivalent of a 1st or 2:1 UK honours degree or MSc degree (Distinction/Merit) in engineering, computer science, or other closely background. Experience with ROS, and proficient programming
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environmentally friendly aircraft. It will also inform research strategies and technology roadmaps including the development of future test campaigns and flying demonstrators. Furthermore it will further develop
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characteristics, at hypersonic speeds, that are likely to adversely affect multibody separation. The research encompasses experimental and computational elements to evaluate the aerodynamics of multibody separation
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reduces crack propagation in composites, reduce failure due to delamination and significantly improves fracture toughness [Williams et al, Journal of Materials Science 48, 3, 1005-1013, 2013]. In addition
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
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for transformational research and education in technology and management. Research Excellence Framework 2021 (REF) has recognised 88% of Cranfield’s research as world-leading or internationally