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and experience in sustainable development of fuels focusing on additive agents for fuels. The additives agents may include fine chemicals, carbon-based fuels, sustainable and suspensible or dispensible
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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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 5 hours ago
/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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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
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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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processing, including HPC job orchestration with LLMs/agentic AI. Make spectroscopy actionable: Implement/benchmark modules for X‑ray, IR, and Raman; document assumptions; quantify sensitivity and uncertainty
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orchestration with LLMs/agentic AI. Make spectroscopy actionable: Implement/benchmark modules for X-ray, IR, and Raman; document assumptions; quantify sensitivity and uncertainty. Publish reproducible science
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with NERSC staff, domain scientists, and partners at NVIDIA and Dell to prepare high-impact workflows for 12,000+ NERSC users. What You Will Do: Contribute to one or more NESAP AI-based scientific
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templates for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q
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on the curation and application of high-quality, evidence-based research from psychology, neuroscience, and education. The program of action research will be based on three priority areas: Agentic AI and Learning