78 channel-coding-electrical-engineering Postdoctoral positions at Princeton University
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The Koel laboratory in the Department of Chemical Engineering at Princeton University is seeking a postdoctoral or more senior researcher position to work on a new collaborative project in a team
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The Koel laboratory in the Department of Chemical Engineering at Princeton University is seeking a postdoctoral or more senior researcher position for new projects to characterize synthesis
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the following: 1) Cover letter including answers to these questions: 1) How have you advanced scientific understanding in your previous/current work? 2) What questions are you most excited about moving forward
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A complete application will require: 1.A current curriculum vitae; 2.A brief cover letter (not to exceed 1,000 words), describing the kind of research that the candidate would plan to pursue in
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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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approaches; *Endogenizing policy processes and choices by combining stylized and technology-rich models; *Assessing multi-scale energy transitions by coupling global integrated assessment models (IAMs) with
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the following: 1) Cover letter including answers to these questions: 1) How have you advanced scientific understanding in your previous/current work? 2) What questions are you most excited about moving forward
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to apply and further develop their technical skills in a dynamic research environment. The successful candidate will have the opportunity to work closely with our engineers and other research staff. Projects
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: Doctoral degree in a related field, such as Architecture, Civil Engineering, Robotics, etc. Excellent track record of research and publications related to the job description Strong scientific writing and
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include: a Ph.D. in Neuroscience, Psychology, Cognitive Science, Computer Science, Engineering, or other related field, and strong experience with computational models, programming, and quantitative methods