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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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The project: As wearable technology becomes increasingly ubiquitous in our lives, it is urgent we better understand how we might use the technology and how the technology can enhance our lives. The VIVO Hub for Enhanced Independent Living aims to leverage digital and robotic technologies to...
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hardware design, and build in fault detection and correction to ensure secure, efficient operation in space systems. The outcome will be a high-performance, fault-tolerant Falcon implementation, enhancing
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the need for sustainability to achieve Net-Zero goals. Cyber-Physical Systems (CPS) integrate machines, robots, and AGVs, but challenges like mechanical wear and electronic errors pose risks to efficiency
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We are seeking one enthusiastic and motivated individual to work within the Zero-G AstroLab, School of Engineering, on a project funded by the UK Research and Innovation (UKRI) in planetary defence to protect our planet from asteroid hazards. The aim of the project is to deliver and validate of...
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that have been developed in-house based on the OSIRIS Particle-In-Cell simulation software. The code needs to be verified and further developed with user cases against experimentally gathered data sets
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The University of Liverpool is seeking to appoint 1-2 motivated and enthusiastic postdocs to conduct research on making Generative AI (GenAI) more robust. You will enjoy a vibrant environment at Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD...
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This PhD project will focus on developing, evaluating, and demonstrating an intelligent solution of diagnosis and prognosis for rotating machinery to enhance safety, reliability, maintainability and readiness. A comprehensive test-bed for in-depth studies will be used for experiments for...
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We are seeking to recruit a Postdoctoral Research Associate in Inorganic Materials Synthesis to work in a multidisciplinary Engineering and Physical Sciences Research Council Programme Grant team
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, while simulations are subject to error due to uncertainty in nuclear data and unresolved physical processes e.g. thermal expansion and fine-scale inhomogeneities. Generating independent simulation