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improvement options, and visualize for end users. Develop an agent-based digital twin platform of VvEs to support the energy transition decision making. Further develop agent-based model for collective decision
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, physical limitations). Their activities will include: - Design and analysis of mathematical models of multi-agent systems, with an emphasis on stability, controllability, and synchronization. - Obtaining
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
interdisciplinary team at the intersection of artificial intelligence, health, and neuroscience. This position focuses on developing next-generation multimodal foundation models and agentic AI systems that can reason
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
interdisciplinary team at the intersection of artificial intelligence, health, and neuroscience. This position focuses on developing next-generation multimodal foundation models and agentic AI systems that can reason
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qualifications: cumulatively or alternatively: a) Experience and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information to be
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: cumulatively or alternatively: a) Experience and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information to be provided in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
/Description: The Postdoctoral Research Associate will focus on the pathogenesis of host pulmonary responses to injuries, including infectious agents. A central area of interest will be on host responses
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modelling (game theory, agent-based modelling) Our offer Remuneration according to the TdL guidelines (currently €13.98 per hour without a Bachelor's degree and €14.59 per hour with a Bachelor's degree) A
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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, informative monitoring and diagnosis of model drift, and cross-platform efficiency. Implement and maintain best-in-class data solutions, managing machine learning models from deployment to retirement, ensuring