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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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that the agent will learn from simulator data and expert knowledge, and will be designed to work collaboratively with trainees and instructors rather than replacing them. The AI agents will leverage LLMs
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. Enable agents to simulate and adapt to human responses in real-time collaborative scenarios, enhancing performance in environments like smart transport systems, dynamic crowd management and other IoT
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that integrates online behavioural experiments, multi agent simulations, and the analysis of animal communication data. Social coordination on group interaction structures: Extending the naming-game framework
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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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and their topological impact on zeolite pores Mechanistic understanding of why defect-containing zeolite samples can outperform defect-free analogues Development of an AI-driven agent for automated
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-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of
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curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
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curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
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of the cytotoxic drug to kill tumour cells will be included to simulate the response of the tumour to ADC treatment. Stochastic or agent-based approaches will be used to describe the heterogeneity of antigen