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: $73,800 and $75,443 The Black Academic Development Lab at Stanford University, Anne H. Charity Hudley, Ph.D., PI, seeks to hire a postdoctoral fellow in the language, literacy, and culture of African
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-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes research
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from real world longitudinal data on management and health outcomes for children with mental health conditions. Methods have included deep learning, large language models (LLM), generative AI models (Gen
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of the post-doc is to study how innovations in AI, especially adaptation of Large Language Models (LLMs) architectures for time-series data, can be used in study of aging, health span, and longevity
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, heritage studies, environmental science, or combination/experience thereof Prior field experience Beneficial but not required skills: Experience in archaeological survey French language Digital Humanities
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archaeological survey French language Digital Humanities skills Previous field work in the Indian Ocean region Required Application Materials: Applying to the post-doctoral fellowship Only complete applications
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for Education Policy Analysis (link is external) and the Education Data Science (link is external) program) develop cultural competencies (via events organized by the Race, Inequality, and Language in Education
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labs at Stanford to tackle emerging clinical questions in oncology, utilizing various AI methods, predictive modeling approaches, and large language models. Specific areas of interest include but are not
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large language models in combination with traditional optimization techniques. Scope includes accurate modeling, user interface, eliciting values, trust and verification, efficiency of the representation
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, including large language models (LLMs), for predicting disease progression and outcomes using electronic medical records (EMRs). This is an exciting opportunity to contribute to the forefront of AI-driven