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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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systems with "self-diagnosis" and "self-healing" capabilities. By integrating federated learning, graph neural networks, and blockchain technology, we will develop a framework that moves beyond static
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derived biomaterials for cartilage tissue engineering and joint immunomodulation. The successful applicant will work in a multidisciplinary environment spanning biomaterials formulation, electroactive
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from: State-of-the-artlaboratories and world-class expertise in materials science, battery technologies, and sustainable manufacturing. Direct collaboration withLeaf Tech Ltd and otherkey industry
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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Preparedness and Response, this PhD will examine how technology-enabled communication tools can improve coordination during major incidents, with a particular focus on equity, inclusivity and trust. The central
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biotechnology. The studentship is delivered in collaboration with the UK Defence Science and Technology Laboratory (Dstl) and will include a research placement at Dstl, providing unique experience in applying
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EngD Studentship in the EPSRC Centre in Doctoral Training (CDT) in Innovation for Sustainable Composites Engineering This opportunity adds to the portfolio of projects within the new CDT
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applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Apply using Newcastle University Portal