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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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with industry leaders (e.g., Teleperformance), we design simulation-based conversational training for customer service representatives and their supervisors. These environments help train staff in
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Simulation Environments, 3D objects, electronic navigation charts Full time, ongoing role based in Launceston About the opportunity The Centre for Maritime Simulations is looking for a Simulation Visual
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organization Knowledge of at least one empirical method (desirable) - Computable general equilibrium modeling and simulation or - Econometrics or - Agent-based modeling Excellent command of English High personal
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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agent capabilities. • Define access, data boundaries, and governance for AI features. • Ensure alignment with institutional policies, compliance requirements, and risk controls. Security, Compliance
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. Simulator-based training is essential for preparing maritime professionals, but it relies heavily on experienced human instructors, whose availability is limited. Recent advances in artificial intelligence
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benefits, please copy and paste this link into your browser: https://www.uwtsd.ac.uk/jobs - This role is not eligible for sponsorship in line with Home Office salary threshold requirements https://www.gov.uk
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environments to facilitate fine-tuning, testing, and validation of AI agents. Design, verify, and validate AI agents covering various disciplines to ensure a diverse range of capabilities. Design simulators
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networks. Participation in national and internationally funded research projects. Contribution to advanced digital twin and agent-based simulation platforms. Opportunities for interdisciplinary collaboration