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: https://cogtlab.stanford.edu/(link is external) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all
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de Arruda, H. F., Gracia-Lázaro, C., Aleta, A. and Moreno, Y. “Collective cooperation without individual fidelity in LLM agents.” arXiv (2026). https://arxiv.org/abs/2606.30454
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conducts applied and theoretical research on the economics and politics of sustainable development, as well as the policies to achieve it. More information at: https://www.epfl.ch/labs/pasu/ . We are looking
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, in particular the semantic integration of the "Preliminary Engine Architecture" tool and the GTlab framework for Large Language Models (LLMs), as well as multi-agent architectures for the automated
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degree (JD, LLM, SJD) will not be considered. We seek an individual committed to excellence in both scholarship and teaching at the undergraduate and graduate levels. The teaching load is two courses per
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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interests in biomedical NLP and medical LLMs, multimodal and foundation models, ophthalmology and medical imaging AI, and real-world applications in biomedicine and healthcare. Please visit https
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Intelligence (LLMs, RAG) and Cloud services. Functions to be developed: Assist in optimizing data ingestion, preparing datasets, and designing vector database structures/bases for semantic queries. Design
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, or research artifacts. References [1] G. Sanmartino, M. Urban, P. Papotti, and C. Binnig. The Stretto Execution Engine for LLM-Augmented Data Systems . 2026. https://arxiv.org/abs/2602.04430 [2] D. Satriani, E
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hold a PhD), along with a cover letter identifying and evidencing your experience with as many of the following areas as possible: R, Python, and C++ AI (LLMs, NLP, and ML) or other quantitative