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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
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using innovative electrified methods. Key Responsibilities: - Baseline existing mineral extraction processes to establish performance metrics and identify opportunities for high value materials, process
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immediately in the Department of Surgery at Stanford University. As part of the Asian Liver Center, our lab uses multidisciplinary approaches to identify and develop more efficacious methods for the diagnosis
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. Developmental Cell. doi.org/10.1016/j.devcel.2021.07.009. Required Qualifications: A PhD in biology, genetics, development, neuroscience, or a related field Prior experience with iPS cell culture and
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: For consideration, candidates must have completed a PhD degree prior to their tentative appointment date. The fellowship is open to US citizens or international candidates. Candidates from groups that are under
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inform IEI and immune dysregulation diagnosis and therapeutic strategies. Required Qualifications: PhD in immunology, microbial pathogenesis, cellular biology, or related scientific field Proficiency in
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their appointment. Knowledge of theoretical and/or observational cosmology, particularly including perturbative methods, will be an asset. Candidates with a strong background in other theoretical or data analysis
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/artificial intelligence; (f) health policy, health economics, and decision science; (g) and implementation science Eligibility The ideal candidate will have an MD/DO, PhD, or ScD. PhDs/ScDs may be in clinical
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Posted on Mon, 08/04/2025 - 17:10 Important Info Deprecated / Faculty Sponsor (Last, First Name): Knowles, Juliet Other Mentor(s) if Applicable: Frank Longo, MD PhD Stanford Departments and Centers
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organize data. Adapt new, nonstandard methods outlined by supervisor in designing and evaluating phases of research projects, (i.e., educational materials, questionnaires, strategies for recruitment, data