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in electrophysiology and machine learning, this project aims to create a functional "digital twin" -- a model that captures both the activity dynamics of the brain at cellular resolution and the
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work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability
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gained through completion of an undergraduate degree in a related field. * General computer skills and ability to quickly learn and master computer programs. * Ability to work under deadlines with general
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to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work
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regulation, improve the implementation and delivery of benefits, and solve intractable problems faced each day by state and local governments. Recent work includes work on machine learning and demographic
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(REQUIRED): * General understanding of scientific theory and methods, typically gained through completion of an undergraduate degree in a related field. * General computer skills and ability to quickly learn
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progress, effective curriculum management, and lively undergraduate student engagement. This role requires a self-starter who is detail-oriented, comfortable learning and using an array of web-based tools
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, implementing, modifying, and maintaining computer programs. The School of Medicine's Department of Psychiatry and The School of Engineering Computer Sciences group at Stanford have collaborated over the last
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work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability
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Postdoctoral Affairs. The FY25 minimum is $76,383. Position is FILLED The Stanford Optima Group is seeking a highly motivated and skilled postdoctoral researcher to lead machine learning projects investigating