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We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only
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We invite applications for a fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is available to UK (Home) candidates only
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. The research will combine computational modelling, experimental validation, and machine learning techniques to develop a predictive phenomenological PAC model. The successful applicant will develop and apply
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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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Applications are invited for a PhD studentship in the Centre for Human-Computer Interaction Design, based in the Department of Computer Science. The successful candidate will undertake PhD research
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strong programming skills and a background either in computer science, engineering, machine learning, or medical sciences, with a passion for improving cancer care. Please contact Dr. Pawel Markiewicz
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of the projects, you will be an expert in astrodynamics and will have developed skills in spaceflight dynamics, navigation, and machine learning. Duration: 3.5 years. Funding Full coverage of tuition fees and an
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#content5-406934 , is participating in cutting-edge CELTIC MECON research project, focusing on network automation in 6G network architectures. The candidate aims to work in the following areas: Machine
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(or international equivalent) OR MSc/MRes with distinction. • Master’s degree in Engineering, Computer Science, Physics, or a related field. • Strong programming skills and familiarity with machine learning software
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interdisciplinary research in data visualization Collaborate between City St George's and the University of Warwick . Be part of a diverse and active cohort working on and learning about data visualizations through