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integrate large language models, multilingual AI, and confidential HPC to support patients and clinicians in real-world healthcare environments. You will lead research on trustworthy and aligned LLMs
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(e.g. via LLMs and RAG), tools for topic modelling, sentiment analysis, opinion mining, trend analysis, and various forms of text annotation need to be integrated in the infrastructure, as well as tools
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). Excellent communication skills in English are essential. Desirable requirements: The following will be considered strong assets: practical research experience with AI, Large Language Models (LLMs), and
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, and demonstrated academic writing and communication skills. Experience designing or using AI-assisted research workflows (e.g., LLM-supported literature synthesis, structured extraction of claims
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Biomedical Data Science Postdoc Appointment Term: 2 years (can be exended) Appointment Start Date: December 1, 2025 (Flexible) Group or Departmental Website: http://med.stanford.edu/summerhanlab.html (link is
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learning analytics, with a focus on the deployment of eye-trackers or fNIRS devices; creating end-to-end prototypes of AI systems, including LLM integration, backend development, and interface design and
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Centers: Stanford Institute for Materials and Energy Sciences (SIMES) Postdoc Appointment Term: Two years Appointment Start Date: July 1, 2026 Group or Departmental Website: https
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intelligent transportation systems (ITS), with an emphasis on developing and deploying state-of-the-art Large-Language Models (LLMs), Vision-Language Models (VLMs), and Vision-Language-Action (VLA) models
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mathematics/statistics/computer science, willing to specialize their research on large language models (LLMs). The successful candidate will contribute to the development of trustworthy LLMs by focusing
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, tables, diagrams) into structured representations and formally checkable properties. This includes designing controlled reasoning pipelines that combine LLMs with symbolic constraints (typed logical forms