84 high-performance-quantum-computing Postdoctoral research jobs at Stanford University
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using in vivo Perturb-seq. This project is related to a new NIH-funded Program Project Grant aimed at identifying differences and similarities in gene function across vascular cell types and diseases, as
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Fellow – Inherited Retinal Degenerations and Translational Vision Research Position Overview We are seeking a highly motivated Postdoctoral Fellow to join a growing translational research program focused
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the population-level burden of aging-related diseases and serious illness. The Stanford Center for Longevity and Healthy Aging Postdoctoral Fellowship Program focuses on population sciences research that addresses
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, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis are encouraged to apply. The position is available
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, genetics, and neurodevelopment, along with access to state-of-the-art imaging technology and advanced computational resources. The fellow will have structured opportunities for professional development
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availability, and internal equity. Pay Range: $95,000 The Stanford King Center on Global Development’s Postdoctoral Fellows Program offers fellowships to outstanding new PhD recipients who have a demonstrated
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Appointment Term: One year, renewable for an additional 1.5 years based on satisfactory performance and availability of funding. Appointment Start Date: Review of applications will begin immediately and
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Health Epidemiology and Population Health Med: PCOR Health Policy Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Science Postdoc Appointment Term: 1-3 years
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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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. Xiaojie Qiu (Genetics & Computer Science) (link is external) and Dr. Matteo Molè (Obstetrics & Gynecology) (link is external) . Our goal is to explore the “black box” of early human pregnancy by mapping