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model fairness and model generalizability across multi-institutional electronic health records databases. The researcher will have access to the real-world EHR data from almost 20 sites across
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at scientific conferences. Required Qualifications: Education: Required: PhD or MD (or equivalent experience) in medical sciences, molecular biology, cell biology, or related field. Work Experience: Required
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challenge for artificial intelligence. Our lab’s research is driven by the observation that, in practice, there is often a wealth of data specific to the application domain that can be leveraged to optimize
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merits have been published in the premier science and technical journals. The group is well funded by NIH and industry partners. For more information, please visit http://med.stanford.edu/Gulab (link is
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. Proficiency in programming (e.g., Python, R) and familiarity with common bioinformatics tools and packages. A PhD in developmental biology, cell biology, regenerative medicine, or a related field. A required
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the field of dermatology, leveraging epidemiology, data science, and public health to advance health equity. Leandra A. Barnes, MD is an NIH-funded K scholar committed to elucidating the underlying mechanisms
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) seeks a postdoctoral researcher in the application of Data and Knowledge Science to smart and sustainable civil and industrial infrastructures and cyber-physical systems. Areas of particular interest
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Posted on Fri, 10/10/2025 - 11:36 Important Info Deprecated / Faculty Sponsor (Last, First Name): Casey, Katherine Stanford Departments and Centers: Humanities and Sciences Postdoc Appointment Term
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Posted on Tue, 02/25/2025 - 17:04 Important Info Deprecated / Faculty Sponsor (Last, First Name): Alsentzer, Emily Stanford Departments and Centers: Biomedical Data Sciences Postdoc Appointment Term
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blockade (Phillips, Matusiak, et al, Nature Communications, 2021). We do research at the forefront of spatial biology and offer training in immunology, human histology, statistics, computer vision, grant