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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
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Bugging Out: When AI loses the Plot – Detecting and Taming Hallucinations in LLM-Generated Code (S3.5-COM-Wang) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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project offers a unique opportunity to apply cutting-edge computational methods to a fundamental challenge in reproductive biology: understanding why human embryos fail. As delayed childbearing becomes more
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both wet bench work and computational work (bioinformatics, chemoinformatics and image analysis). You will gain experience in working with zebrafish embryos, and the use of high-content imaging
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World Models, Predictive Control and Foundation Models for Robotics
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to access a wide range of opportunities and events. It also plays a key role in our reporting, helping to drive data-driven decision-making across our programme of engagement and fundraising activities. We
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communication and photonic quantum computing. These technologies are no longer theoretical; they are rapidly becoming reality thanks to industrial involvement. Examples include Quandela that has delivered
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Advancing Human Motion Understanding through 3D Modelling and Foundation Models (S3.5-COM-ZChen) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Zhixiang
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AI-Driven Facial Movement Analysis for Early Stroke Identification in Pre-Hospital Settings (S3.5-COM-CChen1) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr
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programme combines science, policy, and societal engagement to transform chemicals policy and management, enabling a safe, sustainable chemicals sector and non-toxic environments. This project is one of 16