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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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, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where
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of data driven approaches further relies on the adoption potential and company readiness to use it. This observation likely opens an opportunity for social and behavioural sciences to enable transitions as
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for global industries, all while collaborating with experts in the prestigious International Systems Realisation Partnership. Furthermore, the student will gain invaluable skills in data analysis, problem
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research degree with a wealth of social and networking opportunities. How to apply For further information please contact: If you are eligible to apply for this studentship, please complete the online
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For further information please contact: If you are eligible to apply for this studentship, please complete the online application form.
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to apply For further information please contact: If you are eligible to apply for this studentship, please complete the online application form. Diversity and Inclusion at Cranfield At Cranfield, we value
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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