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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
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methods such as fluorescence and electron microscopy, mass spectrometry, biochemical assays, analytical separations, microbial genetics, and other biophysical and materials-characterization techniques. A
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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
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diagnostics, and carbon nanomaterial synthesis. This is a highly collaborative role involving close interaction with industrial sponsors, academic collaborators, technical staff, and PhD students
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, 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
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/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
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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
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) How to Submit Application Materials: Email application materials to John Openshaw ([email protected](link sends e-mail) ) with the subject line "YOUR LAST NAME Postdoc App for Openshaw Lab 2026" Does
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applications, and ability to quickly learn and master various computer programs. Must be technically rigorous, organized, and have demonstrated excellence, innovation, and productivity in research. Ability
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manuscripts. This position will be mostly computer-based but will have opportunities for field and laboratory measurements and the operation of analytical equipment. In addition, the candidate should be able