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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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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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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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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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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
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Artificial intelligence and machine learning methods for model discovery in the social sciences
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natural language processing create an opportunity to have artificial agents interact with group deliberation, and make it more effective. In this way, the strengths of human and artificial intelligence can
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for assessing floor slipperiness. Some involve the use of skin (heel) simulants and others utilise actual feet. Results from the different tests will be used to optimise the approaches used. It is anticipated
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and will apply knowledge and understanding that has been developed in the field of human skin/surface friction. The aim will be to further develop analytical models that predict frictional performance