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human or monkey electrophysiology. Studies will include simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use of laminar
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applications for a postdoctoral or more senior researcher to conduct spatial quantitative research on social vulnerability to hazards. The researcher will have the opportunity to work on multiple projects
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on social vulnerability to hazards. The researcher will have the opportunity to work on multiple projects, investigating (a) cumulative environmental impacts, (b) the use of census microdata for social
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background in human or monkey electrophysiology. Studies will include simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use
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skills. Ability to work independently and manage multiple projects concurrently. Proficient in Python. Masters degree in Electrical Engineering, Physics, or related field Princeton University is an Equal
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(RSE) Group. In the RSE Group, we collectively provide computational research expertise to multiple divisions within the University. As a central team of software experts, we are focused on improving
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to multiple divisions within the University. As a central team of software experts, we are focused on improving the quality, performance, and sustainability of Princeton’s computational research software. Our
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well as an integral member of the AI Lab and the research community it supports. You will work with a diverse group of faculty, postdocs, and students from multiple disciplines. If you are passionate about advancing AI
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simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use of laminar/neuropixel probes and electrical microstimulation to study
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including but not limited to: Manage a team of 15–30 remote novice neural proofreaders, with potential scaling up to 60 based on project needs. Develop and deliver multiple training sessions to equip