Sort by
Refine Your Search
-
availability, and internal equity. Pay Range: $80,000 to $90,000 We invite applications for a Postdoctoral Research Associate to join a collaborative experiment–theory program investigating electron–ion
-
microscopy. • Expertise in metabolomics with mass spectrometry is desired. • Strong general computer skills, experience with databases and scientific applications, and ability to quickly learn and master
-
-polysaccharide assemblies to naturally occurring and engineered polymers and industrially relevant catalytic materials. The Opportunity The successful candidate will lead an interdisciplinary research program in
-
Appointment Start Date: ASAP How to Submit Application Materials: Please email applications to Dr. Max Diehn ([email protected](link sends e-mail) ). Does this position pay above the required minimum
-
Metabolism Postdoc Appointment Term: 3 years Appointment Start Date: October 1st 2026 How to Submit Application Materials: For questions regarding this position, please email [email protected](link sends e
-
, analyze, and interpret complex datasets. Comprehensive understanding of scientific principles and rigorous experimental or analytical design. Strong general computer skills and ability to quickly learn new
-
precursors of breast neoplasia progress to invasive breast cancer. They will be part of an interdisciplinary team of pathologists, immunologists, and computer scientists. The project builds on our previous
-
/2026 Group or Departmental Website: https://med.stanford.edu/supekar-lab.html(link is external) How to Submit Application Materials: Please email application materials as a single PDF to supekarlab
-
distribution. Both projects will develop the Fontan emulator to be patient-specific, MRI compatible, computer controlled, and quantitatively evaluated using advanced bench-top, CFD/FSI simulation, and MRI-based
-
quantitative modeling using R and/or Python. Experience with PK-modeling within NONMEM, R or Python environments. Strong general computer skills, with the ability to quickly master and implement innovative ML/AI