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computational methods for modelling social dilemmas that can account for real-world complexity in agents’ behaviour. We will build on novel computational techniques to produce realistic enough models that can be
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would develop new computational methods for modelling Groupthink that can account for real-world complexity in agents’ behaviour, and build realistic enough models that can fit past and present empirical
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systems and swarm robotics. The project builds on well established computational and mathematical modelling techniques to achieve its aims. Departure points will be agent-based simulations, optimisation
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Undertake testing on new AI models and systems to ensure reliability and alignment with experimental goals. Liaise with other engineers and stakeholders to finalise AI models and systems for use in
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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Relevant bibliography: - Chades, I., Carwardine, J., Martin, T., Nicol, S., Sabbadin, R., & Buffet, O. (2012). MOMDPs: a solution for modelling adaptive management problems. In Proceedings
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of detailed modelling reports, skilled in contributing to and managing the production of both narrative and data tertiary qualifications – mathematics/biostatistics/computer science/engineering required
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team's hardware and software needs, including the storage, security and archive for modelling input and output data, cloud computational resources, coordination with IT personnel, and the other
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Microsoft Excel and its application in financial modelling and analysis as well as computer applications, enterprise systems, and the delivery of reports and presentations. Highly developed organisational
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The College of Science and Engineering is seeking a Research Associate in Computational Statistics to undertake research on the modelling and analysis of biofouling processes in marine environments. This role