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SPARK program. The laboratory has strong collaborations across Stanford and beyond, providing opportunities for postdoctoral scholars to expand their scientific expertise and collaborative networks
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://stanfordsciencefellows.stanford.edu/apply(link is external) Stanford Energy Postdoctoral Fellowship: https://energypostdoc.stanford.edu/(link is external) Data Science Fellowship: https://datascience.stanford.edu/programs/data-science
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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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of the transformation science and sustainability transitions literatures to help advance the intellectual core of the Transformation Science Program. About the Transformation Science Program The Transformation Science
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Application Materials: Research environment The Postdoctoral Scholar will join an interdisciplinary research program spanning high-temperature reacting flows, aerosol science, carbon nanotube synthesis
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of Health Policy and Prof. Margaret Brandeau in Stanford’s Department of Management Science and Engineering seek a highly skilled individual for an outstanding opportunity to work as a full-time postdoctoral
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AI, predictive modeling, stratification, or biomarker development Programming in Python, R, MATLAB, or related scientific computing environments Reproducible research practices, including version
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program on youth violence and injury prevention, and to develop the career and scholarly interests of the Fellow. Developing the research program will include supporting the team with quantitative
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, strong data science skills, and expertise in evaluating and measuring human health outcomes. The position will be based at Stanford University, visits to our field site in Eastern Indonesia will be
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science, data science, applied mathematics, physiology, biostatistics, or a related field. Strong programming skills in Python and/or MATLAB. Experience analyzing physiologic signals, biomedical waveforms, time