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NCSA Job Summary Advance next-generation AI systems for agriculture, with a focus on large language model (LLM)–based applications. This position will play a key role in designing and evaluating
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(analytical and computational methods), Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). Together, these pillars empower every Lilly scientist
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are based on cutting-edge research carried out within 6 joint research units: GEPEA, IRISA, LATIM, LABSTICC, LS2N and SUBATECH. The proposed thesis is part of the research activities of the team OSE
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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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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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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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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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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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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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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