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Field
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to develop state-of-the-art multi-agent communication protocols and innovative educational technologies based on it. Further, in collaboration with a postdoc, the candidate should establish models
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. The imperative is to move beyond task-specific AI and harness these foundational models for genuine network autonomy, realised through a collaborative ecosystem of specialised agents. This research will address
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single
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-agent reinforcement learning (MARL) framework for cyber-physical networked fault-tolerant control of renewable energy-fed smart grids under adversarial conditions [6]-[9]. Multiple autonomous agents will
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automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability challenges in agentic reasoning systems. Where to apply Website https://www.findaphd.com/phds
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Food passage time through animal guts is a critical parameter for constraining an animal’s ability to act as an agent of nutrient, seed, microbe, or pathogen dispersal in its ecosystem. Current
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Your profile PhD applicants must hold a Master's degree in computer science, mathematics, or electrical engineering, with demonstrated strength in either practical implementation or theoretical foundations. Candidates should possess an exceptional academic record and a strong mathematical...
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designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks
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, aligning AI systems with complex human values, and building self-improving agents capable of autonomous learning. Our work combines cutting-edge experimentation – spanning RL, meta-learning, and robust
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. The aim of this project is to develop multimodal generative AI for embodied collaborative agents. This project aims to create AI agents capable of seamlessly collaborating with humans and other agents in