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: AY 2026-27 Appointment Start Date: September 1, 2026 Group or Departmental Website: https://ceas.stanford.edu/opportunities/postdoctoral-fellowship-chinese-studies (link is external) How to Submit
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-2 years, renewable Appointment Start Date: Jan 2026 Group or Departmental Website: https://www.hanzhulab.com/ (link is external) How to Submit Application Materials: Email: hanzhu[at]stanford.edu Does
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(Surgical Science Section, Division of General Surgery, Department of Surgery) is seeking a productive, organized, and self-driven postdoctoral fellow with a strong background in immunology, experience with
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is $79, 056. Rapid Online Assessment of Reading Postdoc in Operational Psychometrics and Educational Data Science Advisors: Jason D. Yeatman, Ph.D. and Carrie Townley-Flores, Ph.D. The Rapid Online
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for Spatial Biology Description: The Lu Lab at Stanford University is seeking a postdoctoral fellow with deep expertise in advanced AI and generative modeling to develop computational frameworks that transform
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Appointment Term: This postdoctoral position is for one year, with the possibility of renewal based on performance. Appointment Start Date: September 2026 How to Submit Application Materials: Submit all
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: Immediately available Group or Departmental Website: https://www.simonsfoundation.org/neuroscience/simons-collaboration-on-ecological... (link is external) How to Submit Application Materials: Email your
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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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Appointment Term: One year, with option to extend by mutual agreement Appointment Start Date: As soon as possible Group or Departmental Website: https://med.stanford.edu/pedcriticalcare.html (link is external
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collaborated with social scientists Expertise in machine learning, particularly in computer vision and in relation to multimodal sensing data, mobile crowdsensing technology, and predictive modeling Strong data