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if this is the case. As this is the methodology used by government to assess and compare the energy and environmental performance of dwellings, the current rating disincentivises developers from specifying
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, and adjusting on the fly. That’s exactly the kind of capability we want LLMs to develop. Join the Next Leap in AI Learning This project offers a new pathway to grow AI intelligence—one that builds
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and developing novel analytical techniques. Supervisors Prof. Alan Smith and Prof. Gordon Morris - Biopolymer Research Centre, School of Applied Sciences, University of Huddersfield This opportunity is
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project has been developed through interdisciplinary collaboration between Warwick Manufacturing Group (WMG), Warwick Medical School (WMS), and University Hospital Coventry and Warwickshire (UHCW) NHS Trust
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in health and wellbeing. This practice-based research project will align with the University’s civic mission and its research priority on Arts and Health and will be embedded in the development of a
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performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power
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signs of cardiovascular changes, adaptively model physiological patterns, and identify predictive biomarkers of maternal health. You will develop and apply cutting-edge techniques in: Signal processing
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reduce unsustainable costs?’ The research will include: Evaluating the initiatives already in place and being developed Reviewing how other places have solved similar issues Feeding back the above findings
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
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, reliable technology. By joining this project, you’ll be developing innovations critical to a greener, more sustainable future.About the Leonardo Centre The Leonardo Centre at the University of Sheffield is