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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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studentship is available in the School of Computer Science at University of Sheffield, working on the topic of multi-modal AI for healthcare. In recent years, artificial intelligence (AI) technologies, such as
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Artificial intelligence to Building Energy Systems for Next Generation Control Strategies
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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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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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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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of Computer Science at the University of Sheffield as a Lecturer in Artificial Intelligence in August 2025. She received her PhD in Computer Science from Washington State University in 2018, and then spent 2.5 years as
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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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currently complicates their commercialisation. The root causes of this instability remain elusive, especially in full device configurations. This project seeks to build an advanced artificial intelligence (AI