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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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Overview An exciting opportunity exists within the IDEA (Intelligent Design of Engineering Alloys) group at the University of Sheffield. The Research Associate employed through this position will
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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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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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deterministic causality, even though it is seemingly autonomous like a robot, can acquire mechanically attained computational (Brain-like) functions, behave autonomously, and even realise cognitive behaviour is a
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higher education (HE) institution, except for anyone who has participated in the Work Programme. You may still be eligible if the apprenticeship will allow you to acquire substantive new skills and there
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robots have the task to inspect underground sewer and clean water pipe networks. The robots are equipped with different sensors and with data from them can perform intelligent sensing and navigation
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services including data sensing, information flow and processing, and associated information decisions with computational intelligence and control. The increasing size and complexity in cyber systems pose
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volumes of data and high dimensional systems. We have two case studies in particular: intelligent transportation systems and search and rescue. In both case studies there are elements of data collection via