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and knowledge you’ll gain are second to none. Tailored Training: Benefit from both group-based and personalised training activities. We’ll help you craft an individual training plan that aligns with
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sectors like aerospace, healthcare, and manufacturing. The convergence of AI with fault-tolerant design principles is transforming traditional maintenance paradigms, leading to more robust and intelligent
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and deterministic AI outputs is critical. This requires robust design principles and architectural changes to reduce variability and integrate smoothly with industrial control systems. Enhancing
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). The PhD candidate will primarily conduct quantitative research, including the design and analysis of survey and experimental studies. The PhD will be based in the Environmental Psychology Group
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of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in the design and implementation of Open Science/Open Source practices
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
design, commissioning, assembling and optimization of new growth/production and transfer equipment. Such devices will then be used in a wide range of applications such as on-chip optical routing, flexible
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into their structure. However, we don’t yet know how to design these complex printed parts and we are still developing new leading-edge materials to grant them new capabilities. Advantages: In this PhD studentship, you
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
and reasoning techniques to support predictive maintenance and asset health monitoring •Design feedback mechanisms that deliver interpretable insights (e.g. alerts, recommendations, confidence scores
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delivery or regenerative medicine. The student will formulate new 3D-printable materials and develop new design methods, for functional 4D-printed devices with either fast self-resetting responses or complex
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materials and develop new design methods, for functional 4D-printed devices with either fast self-resetting responses or complex multi-scale shape changes, applicable to biomedical, micromechanical