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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
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, disability, or veteran or military status by any member of the KSU Community on campus, in connection with a University program or activity, or in a manner that creates a hostile environment for members
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, staff, administrators, and the general public. Read, understand, and express oneself clearly and effectively in oral and written form and possess digital literacy skills related to computer technology. Be
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About the Opportunity Responsibilities: Teach selected undergraduate or graduate courses in the day and evening programs in the Department of Electrical and Computer Engineering. Course topics might
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. Research Associate in Bioinformatics and Machine Learning Applications to Stem Cell Bioengineering The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking a
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California State University, Northridge | Northridge, California | United States | about 11 hours ago
to the right place. Learn more: https://www.csun.edu/about-csun . Major Duties Under general supervision, the STEAM Program Coordinator coordinates STEAM programming delivery, supports workshops and
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-based test score of 500 (computer-based of 173 or internet-based of 61) on the Test of English as a Foreign Language (TOEFL) or a satisfactory test score of 6.0 on the International English Language
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. Allen School for Global Health (SGH), each dedicated to excellence in teaching, research, and service. (https://vetmed.wsu.edu/ ). In addition to our professional program, we host undergraduate programs
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California State University, Northridge | Northridge, California | United States | about 4 hours ago
and paint, applying and patching the acoustic ceiling, preparing and matching the texture of the stucco coating, paint stencil work, and basic computer skills A valid California Driver’s license is
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/10.1016/j.xcrp.2022.101112 and https://doi.org/10.1080/08940886.2022.2114716 key words synchrotron radiation; X-ray Absorption Spectroscopy, machine learning, artificial analysis, autonomous experimentation