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Artificial Delays,” IEEE Transactions on Automatic Control, vol. 63, no. 10, pp. 3594–3600, 2018. E. Fridman and L. Shaikhet, “Stabilisation by using artificial delays: An LMI approach,” Automatica, vol. 81
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compositions and machining parameters would be selected using Artificial Intelligence. Validation of the developed methodology will be conducted using state of the art machining and cutting tools under relevant
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significant advancements with the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques. This PhD research aims to explore the development and application of Process Induced Neural
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500,000 hectares of the world’s crops are grown in artificial greenhouses and optimising the balance of R/Fr light they receive could provide an unexpected route to yield improvement. However, fundamentally
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explore data-driven methods including machine learning (ML) and artificial intelligence (AI) techniques, to develop predictive HMPM tools that can diagnose, detect, and predict faults in machinery
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Application Deadline: Applications accepted all year round Details Self-driving laboratories (SDLs) combine the power of artificial intelligence (AI) and machine learning (ML), robotics, and automation
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technologies, including: Smart Shop-Floor Connectivity 5G Factory of the Future Big Data Artificial Intelligence (AI) Automation and Robotics for advanced manufacturing systems. Candidates should have strong
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supports the semi-automated checking of research outputs, including machine learning and Artificial Intelligence models. Working closely with the Research and Innovation Platforms Team, you will oversee
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round Details This project explores how machine learning and artificial intelligence can transform the scholarly digital editing process, not only by potentially automating and enhancing editorial
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own interests. The preferred starting date for this position would be in February 2026, but this is very flexible. Supervisor Bio Dr. Bei Peng is a Lecturer in Artificial Intelligence and Applications