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genomics datasets for model training in computers. Independently conduct experiments; maintain detailed records of experiments and outcomes; run training and inference of AI models for cancer diagnosis
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of an undergraduate degree in a related field. Training in causal inference and/or machine learning methods Effective oral and written communication skills Outstanding academic credentials and intellectual creativity
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Epidemiology, Causal Inference, and EHR Data Integration Applications are invited for a postdoctoral fellow position in cancer epidemiology to join Dr. Summer Han’s research group in the Stanford Center
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prior experience related to play, decision-making, and social inference and learning. Experience running human experiments with children; prior experience developing screen-based experiments (e.g
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. The expected base pay range for this position exceeds Stanford guidelines. Required Qualifications: PhD with substantial expertise in data science, geospatial techniques, and statistical/causal inference