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About the Opportunity This job seeks a postdoc to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: Developing machine
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. Perform research on power system dynamics and control under high inverter-based resources (IBRs). Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning
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, Atmospheric and Earth Science is soliciting applications for a 2-year Post-Doctoral Associate position. ACES is seeking a machine learning expert to work on several exciting research projects from airborne and
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: The Postdoctoral Associate will assist a Principal Investigator Leon Shterengas in the Department of Electrical and Computer Engineering . The incumbent will conduct research on semiconductor photonic device
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innovative methodologies across a spectrum of disciplines including digital health, diagnostics, artificial intelligence/machine learning, psychology, demography, and population sciences. Through cutting-edge
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equipment for biomass conversion. • Experience with modeling and machine learning. . Job Application Submission Window The anticipated closing window for application submission is up to 30 days and may be
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the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines
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. Preferred Qualifications Applicants should have a recent Ph.D. degree in molecular biology, or protein engineering, synthetic biology, electrophysiology, advanced microscopy, optics, and/or machine learning
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condition of continued employment. Schedules are subject to change based on organizational needs. The University of Nevada, Reno is committed to providing a place of work and learning free of discrimination
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of knowledge through our broad-based expertise in applied ecology, quantitative methods, and human dimensions in the conservation and management of fish and wildlife. We teach students to think critically about