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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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probes. The postdoc will play a key role in designing and optimizing imaging devices, integrating hardware and software, and collaborating with a multidisciplinary team of clinicians, engineers, and basic
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. Oversee enumerator training, pre-testing, and quality assurance protocols. Code survey into appropriate software (e.g., SurveyCTO, RedCap). Conduct field monitoring and troubleshoot real-time data
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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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Posted on Tue, 02/18/2025 - 15:23 Important Info Deprecated / Faculty Sponsor (Last, First Name): Lepech, Michael Stanford Departments and Centers: Civil and Environmental Engineering Postdoc
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and machine learning based software to assist clinical workflow and pre-clinical studies. Recent software developed from the group has been adopted in the clinic and preclinic labs. The scientific
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technology and b) large-scale data collection in a diverse sample spanning over 250 schools across 30 states to answer three significant questions regarding the mechanisms of word reading difficulties such as
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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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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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skills in statistical software (e.g. R, Stata, Python) and working knowledge in SQL Excellent written and oral communication skills Strong record of distinguished scholarly achievement, including written