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clinical decision making. Required knowledge Python programming Machine learning and deep learning fundamentals Large Language Models (LLMs) and Generative AI Multi-agent AI or AI reasoning
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Primary supervisor Thanh Thi Nguyen Research area Vision and Language This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful
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Primary supervisor Thanh Thi Nguyen Research area Vision and Language In recent years, the rise in cybercrimes has significantly increased the vulnerability of the open internet to various threats
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Primary supervisor Thanh Thi Nguyen Research area Vision and Language In recent years, the rise in cybercrimes has significantly increased the vulnerability of the open internet to various threats
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. Due to the fundamentally different programming paradigm and logic representation from traditional software, the existing development lifecycle can not fully suit the characteristics of DL systems
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. Due to the fundamentally different programming paradigm and logic representation from traditional software, the existing development lifecycle can not fully suit the characteristics of DL systems
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qualifications: Honours/Msc degree in microbiology/bioinformatics, with specific emphasis on functional microbial multi-omic data analysis. Knowledge of a programming language e.g. Python/R. Desired
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large language models, vision-language models, transformer models, and autonomous AI agents. The project may investigate attacks such as prompt injection, adversarial medical-image manipulation
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large language models, vision-language models, transformer models, and autonomous AI agents. The project may investigate attacks such as prompt injection, adversarial medical-image manipulation
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learner agency. The rise of Generative AI and large language models (LLMs) further intensifies these challenges, calling for the development of responsible AI systems that are transparent