172 channel-coding-electrical-engineering Postdoctoral positions at Rutgers University
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institution and one of the nation's foremost research universities, and as such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives. Connections
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mechanical engineering, electrical engineering, civil engineering, architecture, urban planning, or other, as related to building sciences and energy systems o Advanced experience with whole building energy
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federal, state and Rutgers's compliance standards as they appear in RBHS's Corporate Compliance Policy, Code of Conduct and Interest policy. Acts as a role model for corporate integrity, customer service
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, computer science, biomedical engineering, biology, or other biomedical discipline. Previous research using 2-photon imaging, slice electrophysiology, optogenetics, rodent behavioral analysis, calcium imaging
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Minimum Education and Experience: Applicants must have a Ph.D. in Civil and Environmental Engineering, Industrial Engineering, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely
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, neural engineering, and data analytics. Among the key duties of this position are the following: Collecting behavioral and electrophysiological data in the clinical environment. Writing replicable code
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skills and interests of the postdoc. In addition to multiphoton imaging and multiphoton optogenetics, projects may also involve animal training, electrical and optical engineering, electrophysiology
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25FA0694 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience This position requires a PhD in civil engineering, mechanical engineering, or related engineering fields
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skills and interests of the postdoc. In addition to multiphoton imaging and multiphoton optogenetics, projects may also involve animal training, electrical and optical engineering, electrophysiology
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critical cognitive and behavioral functions (e.g. memory formation). This is an interdisciplinary position at the cross-section of cognitive neuroscience, electrophysiology, neural engineering, and data