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species, and the emergence of previously unseen classes. Recent advances in remote sensing and machine learning provide new opportunities to address these challenges, but most current approaches
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? This PhD project offers a unique opportunity to apply machine learning to solve a critical engineering challenge within the railway industry. The Challenge: Rail grinding is a crucial maintenance activity
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project’s focus is to: Conduct cutting-edge experiments to investigate how surface texture affects seal performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with
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PhD: Systematic Exploration of Robot Behaviours for Manufacturing Tasks to Automatically Discover Failure Scenarios EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering
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. The experience can be in any health condition or health service. The role is based in the Health and Care Research Unit in the School of Medicine and Population Health at the University of Sheffield. In this unit
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and heat transfer in geothermal systems under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map
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film flow within the microscopic seal gap. Couple CFD with Structural Models: Study the fluid-structure interaction (FSI) and dynamic response of seal rings under real-world conditions. Collaborate with
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technology, publish in top journals and attend international conferences, learn sought after transferable skills, contribute to novel scientific knowledge, and work alongside friendly, enthusiastic experts
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learning environment. About John Crane Ltd: www.johncrane.com As a world leader in mechanical sealing, John Crane designs, manufactures, and supports technology used across energy and industrial sectors