Sort by
Refine Your Search
-
skills when needed. Demonstrated ability to apply theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer
-
, we invite scientists with a strong background in physics, computational neuroscience, engineering, applied math, systems biology, or other relevant quantitative fields. Previous experience in
-
join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong
-
Engineering Group or Departmental Website: https://web.stanford.edu/group/magiclab/home.html (link is external) Does this position pay above the required minimum?: No. The expected base pay for this position is
-
Centers: Stanford Institute for Materials and Energy Sciences (SIMES) Postdoc Appointment Term: Two years Appointment Start Date: July 1, 2026 Group or Departmental Website: https
-
decision support systems, process control and quality improvement initiatives, and health policy analysis. The program emphasizes both methodological rigor and translational impact, with projects addressing
-
are an interdisciplinary team spanning engineering, neuroscience, developmental biology, genetics, applied math, and physics — united by curiosity and a drive to understand how the brain coordinates whole-body physiology
-
Appointment Term: 1-2 years depending on performance and availability of funding Appointment Start Date: Summer/ as soon as possible Group or Departmental Website: https://sparklab.stanford.edu/ (link is
-
Posted on Tue, 12/16/2025 - 13:32 Important Info Faculty Sponsor First name: Barbara Faculty Sponsor Last Name: Simpson Stanford Departments and Centers: Civil and Environmental Engineering Postdoc
-
for a one- or two-year appointment. The King Center’s Postdoctoral Fellows Program is intended for promising new PhD recipients—coming from fields such as computer science, earth systems science