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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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required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum
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Generative AI for Spatial Biology Description: The Lu Lab at Stanford University is seeking a highly motivated postdoctoral fellow with deep expertise in advanced AI and generative modeling to pioneer
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Biomedical Engineering Department at the University of Missouri (MU). He was recently recruited from Texas A&M School of Dentistry (Dallas) to MU through the MizzouForward Program, an initiative that has
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computer science, earth systems science, economics, engineering, health policy, political science, and sociology—to pursue policy-relevant research on topics related to international development and poverty
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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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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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Biology A cancer molecular biologist at the level of Postdoctoral Fellow is sought to work in a hybrid (wet/dry) systems biology laboratory of Professor Sylvia Plevritis at Stanford University to study
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computer science, operations research, applied math, statistics, or a related field Strong background in machine learning, optimization, and/or algorithm design Excellent written and verbal communication skills
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Digital Economy Lab Human-Centered Artificial Intelligence Computer Science Postdoc Appointment Term: 2 years Appointment Start Date: ASAP Group or Departmental Website: https://digitaleconomy.stanford.edu