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various computer programs. • A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Physiology, Biochemistry or related field. Required Application Materials: • Summary of previous
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Materials: Email Jonathan Pollack at [email protected](link sends e-mail) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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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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Posted on Mon, 07/06/2026 - 07:45 Important Info Faculty Sponsor First name: Electron Faculty Sponsor Last Name: Kebebew Stanford Departments and Centers: Surgery, General Surgery Postdoc
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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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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
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of computational methods into clinically interpretable tools for bedside monitoring. Required Qualifications: PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer