84 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions at Stanford University
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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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: 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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-December 2025 Group or Departmental Website: https://baronelab.org/ (link is external) https://biology.stanford.edu/ (link is external) https://hopkinsmarinestation.stanford.edu/ (link is external) How
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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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-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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offer will be for a one-year term, with the possibility of annual renewal contingent upon performance Appointment Start Date: February 1st, 2026 (flexible) Group or Departmental Website: https
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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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Posted on Sat, 03/07/2026 - 12:45 Important Info Faculty Sponsor First name: Sindy Faculty Sponsor Last Name: Tang Stanford Departments and Centers: Mechanical Engineering Bioengineering Group
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, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will
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degree (PhD, MD, or equivalent) or Master’s degree in a relevant field (e.g., Computer Science, Biomedical Engineering, Public Health, Surgery) Experience in clinical research, data analysis, or machine