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Field
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. Studying the integration of reversible features into mainstream irreversible languages. Exploring domain-specific features to identify novel language idioms specific to reversible programming and
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Are you interested in working in formal verification and programming language techniques applied to quantum systems, with the support of competent and friendly colleagues in an international
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doctoral research. Experience in compiler design, program analysis, and language semantics, regardless of programming paradigm, is an advantage. Prior knowledge of reversible computing is not needed
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include: Programming and computational practice in the age of agentic AI: prompt design and evaluation, large language models, agentic coding, retrieval-augmented and agentic workflows, multimodal
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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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of teaching include: Programming and computational practice in the age of agentic AI: prompt design and evaluation, large language models, agentic coding, retrieval-augmented and agentic workflows
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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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1st author papers on AI and robotics. Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands
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. Appropriate candidates should also have: interest, knowledge, and experience in programming language design; a desire to work on inter-disciplinary projects; a strong mathematical background/training
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reinforcement learning, for cooperative manufacturing tasks Language-guided robotic actions: Exploration of approaches that enable robots to interpret natural-language instructions and translate them into