88 computer-programmer-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Stanford University
Sort by
Refine Your Search
-
beginning in Summer/Fall 2026 for a one- or two-year term. The Rock Center’s Postdoctoral Fellows Program is designed for promising new PhDs—particularly those trained in accounting, finance, economics, or
-
availability, and internal equity. Pay Range: $80,826 to $90,826 per annum The epidemiology of ultrafine particles emitted from gas appliances The Stanford Electrification for Health program, based
-
alters the brain (and increases Alzheimer's risk) throughout the lifespan. See https://bergerlab.stanford.edu/research/ (link is external) for more on our work. We are also interested in understanding
-
program in the past year. Required Application Materials: One-page statement of research interests and career goals Curriculum Vitae 3 references Stanford is an equal opportunity employer and all qualified
-
Therapy Postdoc Appointment Term: 1-year term with possible extension Appointment Start Date: As soon as possible (ASAP) Group or Departmental Website: https://med.stanford.edu/ross-lab (link is external
-
program. The lab investigates fundamental mechanisms of immune recognition and regulation in clinically relevant contexts, with a particular focus on transplantation immunology and viral immunity. Our work
-
position. Appointment Start Date: Ideally on or before July 1, 2026 Group or Departmental Website: https://med.stanford.edu/buckwalter-lab.html(link is external) https://med.stanford.edu/neurology/divisions
-
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
-
. Current and emerging areas of work include: Life-course and translational aging research, including integration of aging science across the Stanford Clinical and Translational Science Award (CTSA) program
-
intellectual perspectives these backgrounds bring. Prof. Lynette Cegelski is Professor of Chemistry and, by courtesy, of Chemical Engineering at Stanford and is affiliated with the Stanford Biophysics Program