95 software-verification-computer-science Postdoctoral positions at Stanford University
Sort by
Refine Your Search
-
Date: Start date will be mutually agreed upon between program leaders and the applicant. Group or Departmental Website: https://med.stanford.edu/autismcenter.html (link is external) How to Submit
-
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
-
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
-
to a high-impact global program with a mission to create a healthier world by addressing lead contamination at the source. Project Unleaded conducts policy-relevant research that positively impacts
-
, 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
-
Health Epidemiology and Population Health Med: PCOR Health Policy Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Science Postdoc Appointment Term: 1-3 years
-
, genetics, and neurodevelopment, along with access to state-of-the-art imaging technology and advanced computational resources. The fellow will have structured opportunities for professional development
-
. Xiaojie Qiu (Genetics & Computer Science) (link is external) and Dr. Matteo Molè (Obstetrics & Gynecology) (link is external) . Our goal is to explore the “black box” of early human pregnancy by mapping
-
of translational neuroscience, clinical phenotyping, and advanced neuroimaging methodologies. Neuropsychological data will be integrated with multimodal imaging findings and basic science investigations to elucidate
-
position to join NIH-funded projects in collaboration with the U.S. Census Bureau's Enhancing Health Data (EHealth) Program that develop new integrated data to improve our understanding of the socio-economic