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generation ● Experience with retrieval-augmented generation, agentic or multi-stage workflows, or knowledge-integrated models ● A strong publication record in top-tier AI/NLP venues (ACL, EMNLP
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anemia, cancer and palliative care. Patient care needs are identified through interdisciplinary assessments, team care planning, and a patient classification system. A multi-disciplinary approach is used
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difficult social situations (multi system impairments and or multiple co-morbidities) referred by a licensed provider. PRIMARY JOB RESPONSIBILITIES Administers treatments and physical agents as determined by
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progressed capabilities towards exploiting zero-day vulnerabilities. Frontier models show promising performance when combined with a focused knowledge base and multi-agent architectures. However, in most cases
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among is the top ten
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among is the top ten research
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Guide, http://adminguide.stanford.edu . The expected pay range for this position is $137,692 to $175,985 per annum. Stanford University provides pay ranges representing its good faith estimate of what
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system protects us from infectious agents such as bacteria, viruses and fungi, as well as from malignant growth of our own tissues. Our lab is interested in the intersection between anti-bacterial and anti
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University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school
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learning with knowledge-based inference, validated by independent experiments and partially supervised by human-in-the-loop systems. A key question will be how agentic AI and foundation models can be