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. Investigate polypharmacy and multimorbidity in newly diagnosed patients with autoimmune rheumatic diseases. Contribute to studies utilizing natural language processing (NLP) to assess patient self-management
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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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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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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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Excellent English language communication skills, both oral and written Ability to work independently and as part of a time High motivation/initiative and excellent independent problem-solving skills Required
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Description The Stanford Department of Applied Physics 2025-26 Karel Urbanek and the Marvin Chodorow Postdoctoral Fellowships is an annual program aimed at recruiting young scientists of exceptional ability
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backgrounds trained in chemistry, chemical biology, microbiology, and/or biophysics fields. We have launched a collaborative antibacterial drug design program integrating chemical biology and mechanistic
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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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, 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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, 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