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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview A reliable
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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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, into structural health and safety condition of structures. The proposed technique can support the targeted safety and maintenance recommendations for infrastructural monitoring and management. Objectives
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resource efficiency. A physics-based model for monitoring the condition of helicopter components is being developed as part of this project. With the help of flight test data, this model is to be calibrated
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Type of award Studentship Managing department Faculty of Humanities Value Subject to residential eligibility status, the award covers: Tuition fees Maintenance stipend (the annual maintenance
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for university admission. Please liaise with your university's student office about their specifications. Scholarship funding and conditions Data61 PhD scholarships have a maximum term of 3 years and 6 months. You
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are among the world leaders in through-life approaches for high value systems, Condition monitoring, Damage tolerance, Asset management. TES was developed with the support of EPSRC grant of £ 11 million with
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open up exciting career opportunities? Are you interested in cable technology and condition monitoring and do you have a strong competence in signal processing and machine learning? As a PhD candidate
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experts in the prognostics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University. About the host University/Centre Cranfield is an
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to data analysis and science communication. PhD students at BirdEyes will gain expertise in cutting-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre