89 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Stanford University
Sort by
Refine Your Search
-
-year appointment, with renewal up to three years possible based on performance Appointment Start Date: September 1, 2026 Group or Departmental Website: https://mpolyak.people.stanford.edu/ (link is
-
Radiation Oncology Postdoc Appointment Term: 1-year term with possible extension Appointment Start Date: November 1, 2025 Group or Departmental Website: https://kalbasilab.org/ (link is external) How
-
and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
-
or longer depending on funding and research progress Appointment Start Date: as early as September 2025 Group or Departmental Website: https://oconnell.stanford.edu/ (link is external) How to Submit
-
continue until the position is filled. The position is available to begin immediately, with a preferred start date before April 1, 2026. How to Submit Application Materials: https://docs.google.com/forms/d/e
-
: Physics Postdoc Appointment Term: 2-years Appointment Start Date: As soon as possible Group or Departmental Website: http://aaronsharpe.science (link is external) http://ggg.stanford.edu (link is external
-
. Target start date is January 2026. Appointment Start Date: January 2026 Group or Departmental Website: https://woods.stanford.edu/ (link is external) https://sustainability-accelerator.stanford.edu/ (link
-
or Departmental Website: https://med.stanford.edu/michellelinlab.html (link is external) How to Submit Application Materials: Please send materials to PI Dr. Michelle Lin (mplin [at] stanford.edu) with the subject
-
: Pediatric Surgery Postdoc Appointment Term: 2 Years Appointment Start Date: 02/01/2026 Group or Departmental Website: https://pediatricsurgery.stanford.edu/ (link is external) https://med.stanford.edu
-
from varied sources, and machine learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with