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scientific understanding and drive innovation through agent-based models, population models, and software implementations. This unique opportunity allows you to shape the future of biological research while
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institutions, including Politecnico di Torino, to advance scientific understanding and drive innovation through agent-based models, population models, and software implementations. This unique opportunity allows
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The University of Stavanger invites applicants for a PhD Fellowship in Agentic AI for Clinical Decision Support at the Faculty of Science and Technology, Department of Electrical Engineering and
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presentations) and ability to conduct independent research. Ability to carry out research in complex networks, dynamical systems, agent-based modelling, social network analysis, data science, or related areas
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University of Massachusetts Dartmouth | Dartmouth, Massachusetts | United States | about 5 hours ago
settings. We are seeking a dynamic and interdisciplinary scholar with expertise in science education and/or the learning sciences, and demonstrated experience with NetLogo or similar agent-based modeling
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that are included in the education. You can use these conversion scales to calculate your points for admission. The hired candidate should have knowledge in agentic AI, large language/vision-language models
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; The prototype will analyze the student's interactions with the study material and based on this analysis, the agent can, for example, present the same information in different formats, or adjust the level of
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/01 11:59PM (posted 2025/08/21, listed until 2025/12/01) Position Description: Apply Position Description MIT Multi-agent AI Postdoctoral Fellowship Program Recent years have seen a surge of interest
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be developing and applying advanced AI models and sophisticated multi-agent systems to address pressing challenges in regulatory genomics. Key research areas include: Mechanisms of Common and Rare
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to facilitate the management and editing of the different specialist agents that make up the system. - Implementing mechanisms to generate artificial conversations, based on historical case studies, for training