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performance analysis, graph-driven deep neural networks, data-efficient machine learning, self-supervised learning, reinforcement learning, online learning, and meta-learning with applications
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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machine learning, and help create sustainable solutions to improve decision-making. Areas of research may include quantifying the interactions between agricultural and ecological systems and the biotic
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; Systems and Controls. To learn more about the Department of Electrical and Computer Engineering at the University of Minnesota, please visit the department website (https://ece.umn.edu). Pay and Benefits
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more years of research training ● Advanced computer modeling skills, including experience with machine learning and/or automation, and spatiotemporal modeling ● Experience piloting drones for research
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performed, include: carpet cleaning using a pre-spray, agitate and extraction method or an encapsulation method, machine scrubbing or stripping of hard floors, applying floor finish, honing and polishing hard
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Magnetics; Micro and Nano Structures; Sustainable Energy Systems, Power Electronics and Drives; Systems and Controls. To learn more about the Department of Electrical and Computer Engineering at
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Engineering, and not for a specific vacancy. Applicants will compose a pool for future needs as they arise in the department. Qualifications Required qualifications: PhD or equivalent terminal degree in
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Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Responsibilities 30% Respond to Automated Pay Machine and other Equipment Issues (Complete Facility Checks and Respond
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic