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modeling and coordination of interdependent infrastructure systems and their subsystems (such as networks of transportation, gas, electricity grid), multi-agent reinforcement learning for distributed
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market using data available on online recruiting platforms, deploying state-of-the-art approaches in Natural Language Processing, Semantic Web, and Agent-based Modeling. For this purpose, an extensive
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market using data available on online recruiting platforms, deploying state-of-the-art approaches in Natural Language Processing, Semantic Web, and Agent-based Modeling. For this purpose, an extensive
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tools, text-to-video, and related models. Experience with practical implementation/integration/deployment of AI powered tools, such as local models, APIs/online services, agents, and coding assistants
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pathogenesis and their potential as therapeutic agents and diagnostic tools. Using in vitro, ex vivo, and in vivo models, the lab studies EVs derived from amniotic fluid stem cells (AFSCs) and other perinatal
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to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our
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• Familiarity with LLM in-context learning and prompt engineering • Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented generation, tools/chains, and LLM agents
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Sciences Department beginning August 2026. This will be a full-time, on-site role, based in Keene, NH. We seek faculty who can create an inclusive, student-centered learning environment, integrate real-world
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model, competency models, and simulation standards of practice. Educates staff on policies and procedures, supporting practice changes based on evidence-based guidelines. Leadership Contributes
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UW into an AI-powered University. This role will work with various campus stakeholders, IT teams and external partners to drive innovation through consulting, evangelism, agent-building, and AI model