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analyses of electronic health record (EHR) data. The postdoc will work with Assistant Professor Zachary Butzin-Dozier (Department of Pediatrics, Division of Clinical Informatics, and Department of Medicine
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?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. Big Data
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. Postdoctoral Training Position Summary: The Stanford Trauma Systems Data Science Postdoctoral
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to mueller7@stanford.edu . Please write "Project Unleaded Data Postdoc Application" in the subject line of the email. Does this position pay above the required minimum?: No. The expected base pay for
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. The postdoctoral scholar will join a research team focused on: (1) using novel methods to create metrics based on task interaction data and verbal responses from children in pre-K through grade 2; (2) validating
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, single cell sequencing, and RNA-seq. Knowledge in bioinformatics for the analysis of sequencing data is preferred. The intent of these studies is to determine the immunogenicity of tumor associated
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) . For shortlisted candidates, we will solicit reference letters, so please include the contact information of at least two references in your application. Does this position pay above the required minimum?: Yes
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: Pathology Biomedical Data Science Postdoc Appointment Term: 1-year, renewable Appointment Start Date: 02/01/2026 How to Submit Application Materials: Please email vcharu@stanford.edu (link sends e-mail
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to be explored include crop-specific and region-specific agriculture, animal agriculture, human health, and several aspects of economic activity. Some, but not all, of the relevant data sets are already
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the scope and impact of our studies. Current research themes include: The impact of GLP-1 receptor agonists on metabolic outcomes and surgical decision-making in bariatric patients Computer vision analysis