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together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a
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Stanford University, Q-FARM Fellowship ID: Stanford-Q-FARM-POSTDOC [#30527] Fellowship Title: Bloch Fellowship in Quantum Science and Engineering Fellowship Type: Postdoctoral Location: Stanford
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University. The ideal candidate will have a strong background in engineering—biomedical, electrical, or mechanical—with expertise in optics, imaging systems, or device development. Our research focuses
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effective therapies. At Stanford, innovations in neural interface technology have allowed us to discover how abnormal electrical brain activity contributes to disorders in movement. In the Human Motor Control
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such as immune checkpoint inhibitors may cause toxicity in the heart, including severe myocarditis, making it difficult for patients with cancer to get the life-saving treatments they need. We have
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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. The postdoctoral scholar will be primarily in charge of the large animal model development and leveraging this model to evaluate the technologies developed by the other team members, although there will be multiple
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. Candidate will have the opportunity to investigate human Tregs in vitro and in vivo, learning from patient samples and humanized mouse models, implement state-of-the-art technologies such as functional
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how it fits into your long-term research and career goals (2) a CV including publication, fellowships/grants, and talks (if any) (3) a list of three references Stanford is an equal opportunity employer
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the Department of Radiology, Division of Interventional Radiology, at Stanford University is seeking a highly motivated postdoctoral fellow with expertise in biomedical engineering or a related field. The lab