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uncertainty quantification for robust structural design, particularly for complex aero-engine systems with limited experimental data. Recent work by the University of Southampton developed a novel data driven
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reliability and maintenance strategies. Filter Rig: An experimental setup to study filter clogging phenomena, allowing for the collection of data to develop and validate prognostic models for filter
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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motivated and skilled candidate with a background in physics, biophysics, biological physics, or bioengineering. This PhD project will primarily focus on experimental research, which will include data
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and interdisciplinary. Please visit https://www.ucl.ac.uk/european-languages-culture/programmes-and-courses for more information. About the role The awardee will conduct an investigation
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motion capture data collection involving patients would be advantageous, as would experience with musculoskeletal modelling software. Candidates with experience in clinical practice relating to human
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expected to attend Bournemouth University in person on at least three days of the week, for all working weeks. Deadline for applications: 12 noon (BST) on Saturday 5 July 2025 For further information on how
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to the full extent. The objectives of this project are i) to quantify the carbon footprint of silage production under different management practices using data collected in farm audits undertaken across the UK
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been identified. Funding: We offer a range of funding opportunities for both UK and international students, including Bursaries and Scholarships. For more information please visit PhD Scholarships
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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