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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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ecology, imaging spectroscopy, remote sensing, and machine and deep learning approaches to work in the detection of invasive diseases using spaceborne observations. We are interested in recruiting
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and training assistance for motorized custodial equipment. Examples include: autoscrubbers, vacuums, sweepers, carpet extractors, floor machines, burnishers, pressure washers, etc. These range in size
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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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; 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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scales, to integrate data science, bioinformatics, computational modeling, and machine learning, and help create sustainable solutions to improve decision-making. Areas of research may include quantifying
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outside Ability to learn to identify plants Valid driver’s license Ability to travel, including occasional overnight camping Preferred Qualifications: Computer literacy including MS Excel or other
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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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of boilers to operate. Regulate steam pressure and water level on boilers and tanks. Test/treat boiler water and condensate. Monitor outlying boilers and equipment using computer monitoring system. Check and
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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