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The Female Athlete Science and Translational Research (FASTR) Program led by Dr. Emily Kraus is accepting applications for a Postdoctoral Fellowship in female athlete health and performance
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or applied geosciences with an entrepreneurial mindset to join a team translating the synergy of a geoscience-engineering technology for a sustainable cement solution into practice. Required
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of Cancer Immunology, Immunotherapeutics, and Computational Immunology. The successful candidate will work at the intersection of immunology, cancer biology, and bioinformatics with focus on the application
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the Stanford Center for Biomedical Informatics Research at Stanford University. This position emphasizes conducting real-world evidence studies using various causal inference methods (e.g., target trial
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Amanda Kirane The Department of Surgery Tumor Immunotherapy Lab, led by Dr. Amanda Kirane at Stanford University, is seeking a talented postdoctoral scientist to join the research team. Dramatic advances have been made in the treatment of melanoma and other checkpoint-responsive cancers,...
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diseases? The successful applicant will lead a project investigating the role of mechanosensitive ion channels in different cell types in the eye. Relevant techniques include basic molecular biology, cell
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on projects of mutual interest with Emily Fox, Professor of Computer Science and Statistics; Ramesh Johari, Professor of Management Science and Engineering; David Scheinker, Clinical Professor of Pediatric
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We are inviting applications for a full-time postdoctoral scholar with a strong computational background and interest in leading the development of clinical deep learning and other machine learning models to enable improved diagnosis, prognostication, and prediction of treatment response for...
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settings, from science and engineering to philosophy and law. Our work aims to uncover the fundamental mechanisms that have enabled humans to deploy these cognitive tools in such innovative ways to learn
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HAI Postdoctoral Fellowship with Professor Roxana Daneshjou, Department of Biomedical Data Science This position will involve studying how physicians interact with AI decision support systems