95 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Postdoctoral positions at Stanford University in United States
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: Neurology and Neurological Sciences Postdoc Appointment Term: 1 year, renewable Appointment Start Date: January 1, 2026 Group or Departmental Website: https://med.stanford.edu/neurology.html (link is external
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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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: Ophthalmology Postdoc Appointment Term: 1 year with renewal based upon performance Appointment Start Date: As soon as possible Group or Departmental Website: https://www.nivs-lab.org/ (link is external) How
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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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, Computer Science, Biomedical Engineering, or related field. • Demonstrated expertise in at least one of the following: – Large‑scale macaque electrophysiology (ideally Neuropixels) – Cognitive & behavioural
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, genomics, molecular biology, computational biology, or a related field Hands-on wet-lab experience with sequencing-based assays (RNA-seq, single-cell genomics, or related methods) Experience working with
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Appointment Term: 2 years with options to renew Appointment Start Date: 01/01/2026 Group or Departmental Website: https://www.stanfordpmhw.com/ (link is external) How to Submit Application Materials: Please
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and Centers: Ophthalmology Postdoc Appointment Term: 1 year with renewal based upon performance Appointment Start Date: ASAP Group or Departmental Website: https://med.stanford.edu/kapilofflab.html
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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initiative to reimagine economic theory and metrics for an AI-powered future. (https://digitaleconomy.stanford.edu/the-economics-of-transformative-ai/ (link is external) ). The Stanford Digital Economy Lab