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Directly Funded UK Students Dr Jon Willmott, Dr Matthew Hobbs Application Deadline: 23 June 2025 Details The fusion energy sector must develop methods of remote maintenance where human access is impossible
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their discipline. At this level, the role also involves contributing to service and engagement activities. The Researcher will contribute to innovative research developments within the scope of the ARC Discovery
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at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will involve designing innovative QML approaches and collaborating
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and algorithms. Train, test, and optimize AI/ML models for production environments. Integrate AI/ML components into web-based and backend systems. Ensure security, scalability, and maintainability
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quality control, machine learning, computer vision, systems/entity identification and recognition, and algorithm development. Demonstrated experience in leading RDT&E teams. Preferred Qualifications
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of healthcare, security and privacy, auditing and compliance, business improvement and intelligence, as well as financial accountability. Courses include application engineering and development, engineering big
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and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion
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on and develop undergraduate and postgraduate modules related to Cyber Security. An evidenced track record is required within two or more of the following areas of Cyber Security: Pen-testing, Ethical
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input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solution for application development tasks. (Verify
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algorithms. Train, test, and optimize AI/ML models for production environments. Integrate AI/ML components into web-based and backend systems. Ensure security, scalability, and maintainability of applications