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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Cooperative Scene Understanding: Re-design semantic segmentation and object-detection models in a
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Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization
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. Desirable criteria Track record of interdisciplinary collaboration. Familiarity with cognitive architectures or agent-based modelling frameworks. Ability or potential to contribute to the development
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data of emotional states and personality metrics. Modeling efforts will focus on agent-based approaches, which may include both simulation studies and data-driven modeling approaches to understand
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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, a spatially-explicit agent-based model of land use change in Great Britain. This will be coupled with a system dynamics model of macro-scale drivers of land system change. Working with colleagues from
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design, and agent-based modeling to address problems in psychological domains, with a particular focus on applications in anxiety disorders and meta-scientific/methodological questions in psychological
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based