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diverse and inclusive research group. The group is focusing on technologies for the system integration of data multi-link and the exploration of advanced communications technology and predications-based
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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performance degradations and unwarranted system failures can occur. There is certain physical information known a priori in such aerospace platform operations. The main research hypothesis to be tested in
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costs. Additionally, these systems enable real-time monitoring and data analytics, allowing robust data-driven decision-making and ultimately accelerating agile and competitive manufacturing operations
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The ever-increasing use of data in real-world applications is a clear indication that we are moving into the era of Industry 5.0 where human-machine collaboration would be key to enable digital
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information please contact: Dr May Sule Email: [email protected] T: (0) 1234752945 If you are eligible to apply for this research studentship, please complete the online application form stating
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for metagenomic sequencing, and analyse the results in consideration of environmental data collected by other organizations and citizen scientists. You will have the flexibility to expand the interdisciplinary
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Engineering or aerospace or a related discipline. This project would suit those with a strong interest in aviation. Experience of computer programming (preferably in Java) would be an advantage. A logical
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between humans and the environment to support sustainable solutions to the environmental challenges affecting our freshwater, lake, wetland, and groundwater ecosystems. To find more information on the
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For further information please contact: Dr Tao Lyu Email: [email protected] If you are eligible to apply for this research studentship, please complete the online application form stating the reference