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Field
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-agent systems. Methodology: Integrate ToM models with Reinforcement Learning based frameworks for single-agent and multi-agent decision-making. Develop simulation environments capturing realistic human
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platforms such as Unity, Unreal, or Godot Up-to-date knowledge of recent advances in generative AI, including vision-language models (VLMs) and agent-based AI systems Ability to design and conduct experiments
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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
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Energy Modelling”. The PhD candidate will be supervised by supervisors from DTU and Chalmers. This project will integrate energy technology, building physics, HVAC systems, control systems architecture
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goals, generate task plans, and work safely and effectively alongside human operators in industrial settings. Recent advances in large language models (LLMs) and agent-based AI systems offer unprecedented
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scenarios. Your research will map multilevel governance structures and you will co‑create mitigation strategies through participatory workshops. You will model farmers’ adaptation behaviour using agent‑based
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions
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rapid, data-driven, physically informed and human-aligned decision framework capable of robust, equity-aware intervention planning under climate uncertainty. This PhD will develop a decision-support
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will undertake doctoral research focused on activity-based travel behaviour, household energy use, and sustainability policy, contributing to the development of causal inference and agent-based modelling
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and responsible artificial intelligence, combining areas such as reinforcement learning, social and cognitive computational modelling, knowledge representation and reasoning, agent-based modelling. More