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molecular epidemiology studies of traits related to cardiovascular disease using large-scale population biobanks including but not limited to the Million Veteran Program (>1.1M), the Women’s Health Initiative
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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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precursors of breast neoplasia progress to invasive breast cancer. They will be part of an interdisciplinary team of pathologists, immunologists, and computer scientists. The project builds on our previous
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a creative, collaborative, and highly motivated Postdoctoral Fellow to join the Colman Lab. Embedded in the fabric of a thriving scientific community at Stanford, our research program focuses
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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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., Dan Jurafsky, Ph.D. We are recruiting a postdoctoral scholar to join a collaborative, interdisciplinary team across Education, Linguistics, and Computer Science. The postdoc will lead a project that
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Intelligence (HAI) Medicine, Biomedical Informatics Research (BMIR) Postdoc Appointment Term: 1 year with potential to renew Appointment Start Date: June 2026 Group or Departmental Website: https
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paired with computational biology and machine learning to develop predictive AI models of how cells interpret and respond to the surrounding extracellular matrix. Required Qualifications: We are looking
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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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Application Materials: Research environment The Postdoctoral Scholar will join an interdisciplinary research program spanning high-temperature reacting flows, aerosol science, carbon nanotube synthesis