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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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Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference
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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
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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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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 23 minutes ago
system and its components. ISSM is a modular C++ codebase with MATLAB and Python interfaces, designed to simulate Cryosphere, Solid Earth, and Sea Level processes, either in coupled or standalone
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examines the impact of IAM services on travel behavior using agent-based transport simulation. The doctoral researcher will initially work collaboratively with first-cohort researchers on IAM-related
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transport, supply chain and logistics modelling to contribute to the development and use of the MILES (Multimodal Integrated Logistics for Simulation) and MATRA (Multi-Agent Transport Resilience and
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of Distributed Mixture-of-Experts (MoE) and Small Language Models (SLMs) to create autonomous, intent-driven networks. This isn't just about connectivity; it’s about building a collaborative, agentic ecosystem
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, abandonment, comments, peer interaction) Formalization of algorithms for orchestrating educational AI agents : Train RL and LLM agents and study multi-objective optimization (mastery, well-being stability) Work