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Field
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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Processes (CLARA). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in
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conversational AI, dialogue systems, human–agent interaction, adaptive systems, user modelling, multimodal interaction, or a related area; Experience with empirical research, preferably including user studies
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deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and
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agent-based modeling. Excellent written and oral communication in English. Excellent personal time management, project management and organizational skills. Demonstrated capability to work effectively in
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year. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs. This project
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the Romanian labor market using data available on online recruiting platforms deploying state-of-art approaches in Natural Language Processing, SemanticWeb and Agent-based Modeling. For this purpose
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market using data available on online recruiting platforms deploying state-of-art approaches in Natural Language Processing, SemanticWeb and Agent-based Modeling. For this purpose, an extensive
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-based reasoning strategies for oncology, including tool-augmented inference, multi-agent or compound model workflows, process supervision, verifier-guided training, and reinforcement learning-based post