-
: 2 years Appointment Start Date: 9/1/2026 Group or Departmental Website: http://buddhiststudies.stanford.edu (link is external) How to Submit Application Materials: Applications should be submitted via
-
Posted on Tue, 05/26/2026 - 15:16 Important Info Faculty Sponsor First name: Michael Faculty Sponsor Last Name: Schumacher, PhD Stanford Departments and Centers: Pediatrics, Gastroenterology
-
Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg
-
requirements. Group or Departmental Website: https://med.stanford.edu/matteo-mole.html(link is external) https://www.devo-evo.com(link is external) How to Submit Application Materials: If you are passionate
-
- Early 2027 Group or Departmental Website: https://cegelskilab.stanford.edu(link is external) How to Submit Application Materials: Please apply through this form: https://forms.gle/ZkD488dieV4wabge8(link
-
Appointment Start Date: 1/4/2027 Group or Departmental Website: http://optima.stanford.edu(link is external) Does this position pay above the required minimum?: No. The expected base pay for this position is
-
Postdoc Appointment Term: Rolling Applications Group or Departmental Website: https://med.stanford.edu/pain/medical-training/postdoc-fellowship.html(link is external) How to Submit Application Materials: We
-
: 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
-
: Medicine, Cardiovascular Medicine Postdoc Appointment Term: One year (with option to reappoint) Appointment Start Date: As soon as possible Group or Departmental Website: https://ashleylab.stanford.edu/(link
-
: The candidate must have a PhD and extensive experience in modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with