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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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may be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role. Our
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or industry engagement events etc) Organisational: Evidence of an ability to prioritise, plan, and execute tasks within a larger project. Demonstrated ability with time management, organisation, and balancing
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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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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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hosting AI-powered security services. It will aim at engineering or technical managers to plan and execute project activities for hardware and software engineers. The guidelines and specifications will
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Supervisors: Dr Katherine Finlay, Psychology (Lead) Collaboration Partners: Dr Alexandra Oti, Unravel Health Dr Chanais Matthias, Manchester Metropolitan University Project Overview: Hormone-driven
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Project Overview The University of Sheffield, funded by the EPSRC and in collaboration with Shell, is offering a fully funded 4-year PhD studentship through the EPSRC Industrial Doctorate Landscape
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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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researcher with expertise in communication, project management, and leadership. You will build a robust national and international network and acquire advanced knowledge essential for implementing critical