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Field
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Demonstrated expertise in socioeconomic dynamics of smallholder livestock systems. Familiarity with systems thinking, system dynamics, agent-based modeling, or other approaches for analyzing complex social
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workflows, and immersive or experimental interfaces Integrate LLM-based and agentic AI systems with scientific visualization frameworks, in situ pipelines, and data analysis workflows Prototype and evaluate
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cognitive agent embodied in a humanoid robot Unitree G1 which will collaborate with a human partner to solve a spatial problem (e.g. 3D puzzle). The tasks to be carried out are: (i) scene understanding
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-emotional learning (SEL) skills and restorative practices; developing critical and creative thinking skills through integrative STEAM curriculum and inquiry based and experiential learning opportunities; and
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and physical modelling. The goal of this position is to develop data-driven approaches to AI-based analysis of complex interaction systems and suitable hybrid architectures for this purpose
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agents. The Postdoctoral Associate will work as part of a highly integrated research team utilizing a variety of laboratory technologies and approaches. Specialized skills in molecular/cellular biology and
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vulnerability in neurons and glial cells in neurodegenerative disease, which will include the use of advanced molecular labeling methods, confocal-based fluorescence lifetime and spectral imaging, standard
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area of research and development (R&D) of next-generation Edge-AI and Embodied-AI Systems with tiny-LLMs, tiny-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination
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the field of AI (e.g., Edge AI, Sustainable AI, Agentic AI) will be addressed and translated into concrete application scenarios. Your responsibilities: Conducting research in the field of generative AI
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 28 days ago
Federated Energy Research Accelerator (AFERA) framework. This fellowship offers a unique chance to engage in research at the intersection of Agentic AI, high-performance computing, and digital engineering to