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in human genetics and population data to experimentally testable mechanisms using powerful genetic models. Projects will combine bioinformatics, genomics, genetics, and systems biology, with
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. • 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 various computer
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the sensitivity and information content of cell-free nucleic acid analysis, including ctDNA detection at very low tumor fractions and cfRNA-based readouts of tumor and host biology. A second arm applies these
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, including candidates who have completed or will soon complete their PhD in economics, political science, environmental policy, or data science as applied to environmental policy. The successful candidate will
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, the reason you are applying to our lab, and the reason why we should consider you for this position. • Your curriculum vitae • Contact information for 3 references. Stanford is an equal opportunity
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, bioengineering, and translational oncology, and a vibrant research community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data
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of publications Contact information for 3 professional references Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex
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level, or equivalent, with some online teaching experience preferred. Proficiency using computer applications, and familiarity with online tools and resources for language teaching. Ability to routinely
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of reference providing a recommendation addressing the future promise of your scholarship. For further information, inquiries may be directed to Natalie Badalov, Faculty Affairs Coordinator, nbadalov