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of data. What is needed, therefore, is a test method in which creep strain is developed without changing the cross-sectional area. This PhD proposal seeks to concentrate on the formation of oxide scale and
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, including oxidation, complicating the interpretation of data. Therefore, a test method in which creep strain is developed without changing the cross-sectional area, is needed. This PhD proposal seeks
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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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PhD offers an exciting opportunity to explore reservoir computing, a new approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and
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their performance relative to current pragmatic industrial approaches. The successful candidate will spend at least 3 months during the PhD based within Siemens Digital Industry Software, receiving joint supervision
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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Overview The University of Nottingham invites applications for two fully funded PhD studentships within the fields of mental health and neurosciences, commencing 1st October 2026. These studentships form
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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Location: University of Nottingham, Faculty of Engineering Start date: 1 October 2026 Application deadline: 14 May 2026 Project type: Collaborative PhD studentship (joint Academic-Industry