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is available from 01 August 2026 or later. You can submit your application via the link under 'how to apply'. Title Readvertisement: PhD Position in Test-Time Adaptation and Agentic AI Research area
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community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters Advance the frontier of AI by developing multi-agent systems capable
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the next generation of human-centred industrial systems? We are seeking a talented PhD student to investigate Agentic AI for human–robot collaboration, focusing on how intelligent machines can understand
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to £20,780 plus fees for three years. The project brings together expertise in artificial intelligence and logistics and supply chain management, investigating the potential of adapting agentic AI to enhance
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PhD Studentship: QoE-Driven Agentic AI for Automated Bug Discovery in Video Games (Collaborative Doctorate with Sony Interactive Entertainment) Video games are complex, continuously updated, and
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structure. This PhD project will investigate systemic financial risks emerging from the convergence of agentic artificial intelligence and retail trading platforms. Using a combination of experimental
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Agents for Maritime Simulator Training Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The
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://cavecore.eu/ Your Research Project (DC4) You will work at the intersection of machine learning, control theory, and autonomous multi-agent systems to develop hybrid learning-based control strategies
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, especially large language models (LLMs), enable the development of interactive AI agents that can support human learning in complex, safety-critical environments. Human-centered AI in this project means
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REQUIREMENTS Research Assistant AI Agent (Hourly) Penn State Brandywine & Penn State Great Valley (Yang) Penn State Brandywine and Penn State Great Valley faculty, Xianfang (Sharon) Tan, Ph.D., Luna Yang, Ph.D