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to reach carbon net zero by 2050. Between 40 to 50% of the carbon footprint of a litre of milk is attributed to CH4 production in the rumen (Huhtanen et al., 2022) which also has a negative impact on animal
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for research based on alternative qualifications/experience judged acceptable by the university. Project Forage preserved as silage is a major component of ruminant livestock feed in the UK and globally. Silage
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costs. Condition monitoring (CM) of rolling element bearings, hereafter called bearings, has been the main point of attention for many decades in the industry for maintenance. This is because bearings
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embedded in our University of Birmingham group of Meteorology and Climatology (https://www.birmingham.ac.uk/research/activity/environmental-health/areas/meteorology-climate ). The University of Birmingham is
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of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing line and testing platform at PEMC. Motivation As the mass transportation sector is moving towards electrification
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We’re here to create and harness knowledge, to deliver opportunity for everyone. About the Opportunity Based in the Faculty of Education, this is an excellent opportunity for a talented and
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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In collaboration with Burnley FC Women and Manchester Metropolitan University, this is an opportunity for a 3-year PhD studentship embedded within the senior women’s first team. The PhD studentship
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
industry today is how to turn vast, unstructured maintenance data into timely, actionable insight that supports safer, more efficient engineering decisions. This project will address that need by embedding