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Field
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new cures to the world's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our
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for large language models and agentic AI systems. Experience designing and developing multi-agent systems, tool-using AI agents, retrieval-augmented generation systems, or autonomous reasoning and planning
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structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods, etc. - ML-augmented numerical method development. - High-performance computing (HPC
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agentic AI tooling such as Retrieval Augmented Generation (RAG) pipelines, agent skills, and Model Context Protocol (MCP) servers. Ability/willingness to travel to partner institutions and conferences as
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new cures to the world's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our
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that augment human capabilities and leadership A desire to collaborate with an interdisciplinary team of scholars Ambition to engage in cutting-edge research with the potential to transform organizations and
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new cures to the world's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our
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materials into Retrieval Augmented Generation (RAG) architectures and customized AI assistants. coordinating collaboration among faculty members, technical partners, innovation support units, and partner
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from augmenting hate speech content. While the role is based in a computer science school, the project is a part of a European consortium involving partners from a range of disciplines, and therefore
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
data augmentation or cross-modal transfer learning. Finally, they will perform Evaluation and Benchmarking, establishing rigorous quantitative and qualitative metrics to assess the quality, editability