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PhD Studentship: The Right Child in the Right Place: Reducing the use, and cost, of inappropriate placements for Plymouth’s looked-after children. Applications are invited for a full-time three-year
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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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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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Full-time: 35 hours per week Fixed-term: 60 months (1st April 2026 - 31st March 20) The Opportunity: You will join the Wellcome-funded research project, ‘Medicine without Doctors: Reimagining Care and Voice through Play’, which examines the changing landscape of medical authority, voice and...
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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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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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aligning with NQTP Missions 1 and 2 and NQCC Testbed programme, will tailor the developed benchmarking approaches to error-corrected as well as distributed quantum computers, addressing the need for scalable
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to compensate for such aberrations, significantly enhancing image quality. Adaptive requires knowledge of the wavefront to be corrected. Our team has been developing a machine-learning approach to wavefront
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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