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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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Policy. 50% Patrols streets and lots on foot and by car. Inspects buildings and grounds for irregularities such as potential fire hazards, water or gas leaks and unauthorized persons in an area. Closes
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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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at the employee’s remote location and 15% will be virtual/flexible with the potential for periodic meetings on the St. Paul campus. Job Duties 60% Designs, writes, and modifies computer programs for solution
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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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to rent. Most of the work you do will be out in the field, though a few jobs have indoor laboratory or computer components. Qualifications Ability to work outdoors. Effective analytical and communication