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for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a
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revolutionizing how safety and reliability are managed throughout a system's lifecycle. This PhD project explores the application of AI in enhancing certification processes and lifecycle monitoring of safety
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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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to start in February 2026: Brief outline: This project provides access to research facilities and training both at the OU and Strathclyde, along with regular collaboration with leading experts in quantum
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are seeking a motivated research assistant to join our team working on an exciting Wellcome-Trust funded project. The research focuses on decoding neural representations across dynamic brain states through
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(nathan.einbinder@plymouth.ac.uk ) Applications are invited for a four-year PhD studentship and will start, 1st January 2026. The project is funded from Centre of Research excellence in Intelligent and Sustainable
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week over 25 weeks) offer flexibility while ensuring close collaboration with the research team and schools throughout the project. Closing Date : 15-Aug-2025, 11:59:00 PM Disclosure and Barring Service
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scholarships. The project aims to investigate how the growth and legitimacy of ‘asset manager capitalism’ and consulting industries contributes to wealth inequalities, with negative repercussions on the climate
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Deadline: 24.08.2025 Number of positions: 1 For UK students only This 3.5 year PhD project is fully funded for home students only. The successful candidate will receive a tax-free stipend set at
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to circumvent this limitation by learning patterns in unlabelled medical images and then leveraging them for downstream tasks. In this project, you will develop novel unsupervised machine learning methods