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hallucinations than conventional AI, making them exceptionally suited for biomedical applications. You will integrate the exciting environment of the recently merged City St George’s University of London, and a
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Award duration: 4 years Food processing currently relies heavily on the combustion of natural gas to provide process and space heating. Until recently, natural gas was considered the preferred fuel
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exhaustive, and the PhD candidate will be required to undertake such tasks and responsibilities as may reasonably be expected of a PhD candidate. Application process The application should include: a
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seeks to standardise PET imaging and scoring ( https://radiopaedia.org/articles/herder-risk-model , https://radiopaedia.org/articles/deauville-five-point-scale ) across sites without downgrading better
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for inspection of both micro and macro process accurately, that compiles faster than standard industry codes but delivers particle-in-cell accuracy has the potential to be a step-change technology
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information about the application process, please consult our PhD programme webpage or apply directly by clicking the 'Apply' button, above. Before applying, you should carefully review the research carried
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propellant space propulsion systems. A significant limiting factor of hybrid propulsion systems is the continuous change in surface area of the propellant grain during the combustion process. This changing O/F
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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. This cohort of students will investigate aspects of EAF steelmaking and product development using the latest suite of characterisation equipment, processing lines and digital tools, aided by
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general enquiries on the scholarships, please email: Research Programme Leader, Dr Irma Malafronte, at irma.malafronte@roehampton.ac.uk For administrative support regarding the application process, please