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modelling under uncertainty. Experience with quantitative research methods, stated choice experiments, simulation modelling, agent-based modelling, transport modelling, econometrics, or related approaches is
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multiscale, off-lattice agent-based model of tumour initiation and clonal evolution using Chaste, an open-source simulation framework for cell populations co-developed in Sheffield (Cooper et al., 2020, doi
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". The new seminar is intended as an introduction to the use of computer-based simulations in population health (e.g. based on Agent-Based Modeling or Systems Dynamics Modeling). To support the development and
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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | 2 months ago
in applied artificial intelligence: in LLM-based assistance and agent systems, in knowledge provisioning, and in connecting language models with real tools and 3D simulation models. The focus is on
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are the provisions? You will receive a stipend to be determined by USAMRIID. Stipends are typically based on a participant’s academic standing, discipline, experience, and research facility location. Other provisions
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engineering teams to ensure reliable, scalable service delivery. Microsoft Copilot & AI Administration • Lead implementation and administration of Microsoft 365 Copilot and related agent capabilities. • Define
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shape relational aspects of work. Identify the mechanisms through which AI-mediated contributions and autonomous agents reshape relational dynamics, and develop evidence-based guidance for responsible and
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. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience
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faculty based on University campuses, at Research and Extension Centers and in every Arkansas county. It consists of the Arkansas Agricultural Experiment Station (AES) and the Arkansas Cooperative Extension
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computation is necessary before taking an action. This PhD project will address these challenges by developing trustworthy and resource-adaptive VLA models. A central question is whether an embodied agent can