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for Biomedical Informatics Research at Stanford University. This position emphasizes conducting real-world evidence studies using various causal inference methods (e.g., target trial emulation) to examine
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. The Andreas Tolias Lab at Stanford University is seeking an exceptional neuroscientist or cognitive scientist—at the postdoctoral or senior research scientist level—to join the newly launched Simons
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machines that both learn from humans and help humans learn. The postdoctoral fellow will lead a project using AI technologies to support active learning in young children, by empowering them to create
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experience. Research background in decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow
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clinical shadowing experiences. Research topics range from machine learning, designing, and evaluating clinical decision support content to disintermediate scarce medical consultation resources, evaluating
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Stanford Center for Biomedical Informatics Research (BMIR) Stanford University School of Medicine Does this position pay above the required minimum?: Yes. The expected base pay range for this position is