267 computer-science-intern-"https:" "https:" "https:" positions at Stanford University in United States
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are seeking a postdoctoral scholar in computational biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford University. This research opportunity
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Mar-26 Location: Stanford, California Type: Full-time Categories: Staff/Administrative Internal Number: 108419
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 07-Mar-26 Location: Stanford, California Type: Full-time Categories: Staff/Administrative Internal Number: 107941
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or Departmental Website: https://med.stanford.edu/michellelinlab.html (link is external) How to Submit Application Materials: Please send materials to PI Dr. Michelle Lin (mplin [at] stanford.edu) with the subject
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 05-Mar-26 Location: Stanford, California Type: Full-time Categories: Staff/Administrative Internal Number: 108353
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effectively communicate information to internal and external audiences, client groups, and management. Advanced analysis and problem-solving skills. Advanced computer skills, including experience with Microsoft
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 01-Mar-26 Location: Stanford, California Type: Full-time Categories: Staff/Administrative Internal Number: 108342
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skills when needed. * Demonstrated ability to apply theoretical knowledge of science principals to problem solve work. * Ability to maintain detailed records of experiments and outcomes. * General computer
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to apply theoretical knowledge of science principles to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master
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manuscripts. Present findings to internal and external stakeholders including donors, governments, and communities. Translate results into actionable recommendations to inform program strategy and health policy