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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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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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the Safety and Surveillance Group and the wider Agency. The successful candidate will have: A PhD in Computer Science, Statistics, Machine Learning, Data Science or a similar quantitative discipline or
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associate to work with Dr Timothy Rittman on the implementation of machine learning for understanding and clinical utility. The role will involve the collation and curation of datasets of neurodegenerative
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Join our dynamic, multidisciplinary team as a Research Associate and make a transformative impact in scientific machine learning and digital twins for healthcare innovation! This role focuses
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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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to continuous improvement. Contribute to the development of appropriate programmes, modules and lectures in accordance with academic and military learning objectives. Participate fully in assessment
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practice and a commitment to continuous improvement. • Contribute to the development of appropriate programmes, modules and lectures in accordance with academic and military learning objectives
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Part time, fixed term contract Closing date: 23:59 31st August 2025 We are pleased to announce a fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate