62 Computer Science "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Stanford University
Sort by
Refine Your Search
-
demonstrated ability to design, train, and deploy large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment
-
Centers: Pediatrics, Cardiology Genetics Postdoc Appointment Term: Initial 2 years then reappointment possible Appointment Start Date: Immediately Group or Departmental Website: https://med.stanford.edu
-
career development will be tailored to each scholar and their specific goals and interests. Qualified applicants must have research training in epidemiology, population genetics, and/or computer science
-
Expertise in primary cell isolation and culture, FACS, confocal imaging, and mouse genetics is preferred Experience with transcriptomics and programming language suitable for computational analysis (e.g. R
-
Appointment Term: One year with expectation to renew Appointment Start Date: any time Group or Departmental Website: https://med.stanford.edu/maduke.html(link is external) How to Submit Application Materials
-
Posted on Thu, 07/16/2026 - 19:23 Important Info Faculty Sponsor First name: Mark Faculty Sponsor Last Name: Musen Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR
-
, and Persuasion and draw on many disciplines including sociology, psychology, political science, computer science, and policy. The fellow will help advance this agenda alongside our team of researchers
-
experience in professional activities through programs such as the Stanford Benchside Ethics Consultation Service, a research ethics consultation program to assist life sciences researchers in the resolution
-
Appointment Start Date: Negotiable Group or Departmental Website: https://med.stanford.edu/psychiatry(link is external) How to Submit Application Materials: Applications and inquiries should be emailed to Cedra
-
and/or related fields including genetic epidemiology, human genetics, biostatistics, bioinformatics, computational biology, or phenomics (including EHR, deep medical imaging, and biomarker profiling