188 Electrical Engineering uni jobs at Stanford University in united-states-of-America in United States
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, Engineering, and Medicine for Human Health. The institute was founded as a joint venture of the Schools of Medicine, Engineering, and Humanities and Sciences. The proximity of world-class biologists, chemists
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of intended employment at employer’s discretion. Requirements: Bachelor's degree in Computer Science, Management Information Systems, Mechanical Engineering, Electrical/Electronic Engineering or
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Program Manager, Ethics, Society, & Technology PractitionerPrograms The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24
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Office software. May telecommute within area of intended employment at employer’s discretion. Requirements: Master’s degree in Computer Science, Mechanical Engineering, Electrical Engineering or related
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team including researchers from multiple scientific and engineering disciplines, including cognitive neuroscience, psychology, psychiatry, neurology, bioinformatics, computer science, electrical
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, psychiatry, neurology, bioinformatics, computer science, electrical engineering, and biomedical engineering. This is an exciting opportunity to contribute to brain imaging studies of cognitive and social
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: Bachelor's degree in computational and engineering sciences (e.g., computer science, computational biology, electrical engineering, biomedical engineering) or other related fields. Experience with signal
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This is a fixed-term hybrid-eligible position to last 1 year. Job Purpose: The position will be working with in the Cross Platform Technologies team within Enterprise Technology (ET) in University
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leaders who will make the world a better place through the power of engineering principles, techniques and systems. Electrical Engineering is one of the largest departments in the School of Engineering at
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depression as a disorder of functional brain circuits at the individual level, and to drive innovation of personalized treatment approaches that go beyond the current ‘trial-and-error’ approach. Important