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, and must not already hold a PhD/doctoral degree. About the project: Using Magnetic resonance imaging (MRI) we are able to assess how brain regions are connected (structural connectivity) and communicate
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Funding provider: Sony CSL - Paris Project start date:Flexible before October 2026 Supervisors (*lead): Aligned programme of study: PhD in Network Science About the Complex Connections Lab
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship fully funded by the department to commence on September 2026 or as soon as possible thereafter
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research, industry, and medical engineering. Methodology The overall aim of the project is to design and evaluate processes that integrate formal requirements and formal specification-based automated test
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Applications are welcomed for a fully-funded PhD studentship with Manchester Metropolitan University and Chester Zoo. Our team combines expertise in sensory ecology, evolutionary biology, and 3D
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the growing demand for sustainable AI-enabled systems, this PhD brings together low-power computing, energy-aware design, and thermal optimisation. You’ll work with advanced profiling tools, prototype long-life
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, inclusive research culture. For 2026 entry, our offering consists of 3 Collaborative Doctoral Awards (CDAs) as detailed below. Application deadline: 30 April 2026 Application process Applications
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regulatory engagement, helping startups and SMEs overcome innovation bottlenecks and ultimately benefiting patients. Timeline Year 1: Analyse medical standards/processes; formalise requirements; prototype
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
developed a dataset by conducting high-velocity impact experiments on CFRP specimens using controlled testing setups. The multimodal dataset is to be processed using X-ray CT scans, SEM imaging, and
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relate to processing-relevant traits such as fry quality, yield, and waste? The project will take an integrated approach combining advanced imaging, quantitative phenotyping, and genetics. A high