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Field
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-based simulations in VR/AR to facilitate the acquisition of complex physical tasks. This includes real-time feedback loops, biomechanical modeling, and adaptive training environments. Social & Soft Skill
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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, preferably related to serious games and/or agent-based modeling and simulation Desired experience: 2 to 5 years of professional experience Where to apply Website https://www.aplitrak.com/?adid
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under the guidance of the principal investigator. Projects will involve work with animal model and human patient sample experiments to investigate immune function in cell therapy and hematopoietic stem
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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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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