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Field
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to communicate complex information clearly both orally and in writing. Experience in at least one of the following topics: mathematical biology, mathematical modelling, agent-based modelling, Bayesian inference
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machine learning, agent-based modelling and multi-criteria decision analysis. Excellent scientific writing, team work, organisational skills and communication skills with a range of stakeholders are
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a track record in computational modelling that explores the dynamics of AI systems and the development of autonomous AI agents, experience with machine learning, reinforcement learning, and generative
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, a spatially-explicit agent-based model of land use change in Great Britain*.* This will be coupled with a system dynamics model of macro-scale drivers of land system change. Working with colleagues
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, a spatially-explicit agent-based model of land use change in Great Britain. This will be coupled with a system dynamics model of macro-scale drivers of land system change. Working with colleagues from
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Methods for Team Decision Making. We will employ a mixed-initiative approach to model and orchestrate agents and humans collaborating to facilitate effective decision-making. It will build on methods
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Learning (e.g., DDPG, PPO, MARL). NLP including language understanding, generation, explainability and reasoning, and dialogue systems. Develop and evaluate AI models, including: Agent-based and LLM-based
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machine learning, agent-based modelling and multi-criteria decision analysis. Excellent scientific writing, team work, organisational skills and communication skills with a range of stakeholders are