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separation. The successful candidate will have the opportunity to work in a collaborative and dynamic research environment at Stanford University, contributing to innovative solutions for a sustainable
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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
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for healthcare. The Alsentzer Lab is an interdisciplinary research group in the Department of Biomedical Data Science at Stanford University. Our mission is to leverage machine learning (ML) and natural
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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