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for healthcare. The Alsentzer Lab is an interdisciplinary research group in the Department of Biomedical Data Science at Stanford University. Our mission is to leverage machine learning (ML) and natural language
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Cultures in the Division of Literatures, Cultures, and Languages at Stanford University is seeking a Postdoctoral Fellow working in Iberian or Latin American culture and literature of any period. We invite
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required. The candidate must have demonstrated proficiency in machine learning, natural language processing, and working with large-scale health datasets. Strong programming skills in both Python and R
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are looking for a postdoctoral researcher to contribute to cutting-edge research at the intersection of language models, data, and reasoning. The postdoc will be part of Stanford Language, Data, and Reasoning
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mindset and ability to adopt new data analysis modalities Excellent written and verbal communication skills in English. Required Application Materials: CV Research Statement describing (a) Your research
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, or energy, or similar industrial sectors. For both candidates, expertise in electricity grids, demand response programs, and rate structures is also highly valued. The WE3Lab is a collaborative team of
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, food security, sustainable agriculture, agroecology, and global health. Excellent oral and written English-language communication skills. Highly motivated self-starter with the ability to work
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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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embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
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learning to investigate how the human brain develops diverse cell types and forms complex neural circuits. We are particularly interested in how these developmental programs are disrupted in