57 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Sheffield
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Experience in developing software to a high standard using a range of computer languages and tools, ideally for applications involving the modelling, simulation and analysis of the large, complex and dynamic
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. This project will develop responsive manufacturing technology that will have sufficient flexibility to overcome such problems by utilizing intelligent machine learning to control the printing process in real
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Machining Group and others as required. You will aid and advise in the creation, definition and maintenance of safety and operational procedures. Subsequently, you will be responsible for ensuring
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
AI-assisted adversarial attacks. You will work on topics such as cybersecurity, intrusion detection, adversarial machine learning, industrial automation, digital twin technology, and reinforcement
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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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data gaps by combining process simulation (e.g., Aspen software) with machine learning techniques. By developing accurate, large-scale life cycle inventory data using enhanced digital tools like deep
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development, machine learning and signal processing, and system integration. We are interested in working on different areas to improve the BCI technology. These areas include (but are not limited
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machining, welding and cladding and non-destructive testing. As a Project Manager, you will be working within groups in the AMRC or across multiple groups. In this exciting opportunity this role will be based
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subsystems • High performance tunable and reconfigurable oscillators and frequency synthesisers • Application of AI / Machine Learning to physical layer circuitry, signals and waveforms Researchers can expect
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to AI, including deep reinforcement learning, human-in-the-loop machine learning, and multi-agent systems. Dr. Robert Loftin is a Lecturer in Machine Learning at the University of Sheffield. He received