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: This position will be primarily supervised by Dr. Francis X. Shen, JD, PhD. Dr. Shen is a Professor at the University of Minnesota Law School, a member of the Faculty in the UMN Graduate Program in Neuroscience
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Requisition Id 15983 Overview: We are seeking an R&D Associate who will focus on developing and applying advanced signal processing, wireless communications, and AI techniques to RF sensing, drone detection, and power grid waveform analytics. You will apply methods traditionally used in...
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. · The appointment is viewed as preparatory for a full-time academic or research career. · The appointment is not part of a clinical research training program, unless research training under the supervision of a
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agencies (e.g., NSF, DoD, DOE, NASA) to secure competitive external funding and support a self-sustaining research program. Lead and contribute to interdisciplinary projects in areas such as smart material
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to increase synergy and impact to the region and nation. The positions will concentrate on computational simulations and AI-driven tools, including materials discovery, design, property prediction, process
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microscopy techniques and image analysis (confocal, multiphoton, or other advanced imaging techniques) and/or electrophysiology. Demonstrated computational knowledge, use of ImageJ, and familiarity with a
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Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields. Solid background in power systems dynamics and modeling including load flow, short-circuit, and contingency analysis
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comprehensive benefit program to eligible employees. Please see this link for more information.
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Sciences, including the newly launched Integrating Medicine and Policy to Achieve Healthcare Transformation (IMPACT) program, the Center for Clinical and Translational Sciences, the Utah Genome Project
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, or university and pursuing a program or course of study Must meet Academic Standing Requirements; students on academic suspension are not eligible for employment Must meet the applicable minimal enrollment