2,492 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Michigan in United States
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at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Work Schedule Individuals must be able to work evenings and weekends. Additional Information This is
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at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work
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and intrusion alarms Duress/panic alarms Video surveillance systems Coordinate multi-unit and multi-agency responses during emergencies Enter, update, and retrieve data from Computer-Aided Dispatch (CAD
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contributions, interpret and analyze results under the guidance of other senior researchers in the lab. The applicant will learn and use negative-stain electron microscopic and cryogenic electron microscopic
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to teach their own class and/or be a substitute instructor for some of our other classes during the spring/summer and fall terms. Our tennis classes are held at the U-M Varsity Tennis Center and Chippewa
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/or equipment Operation of Automated Endoscope Reprocessors, Ultrasound machines, leak testers, automated HLD equipment Role model employee code of conduct Ability to meet functional/physical job
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Qualifications* Basic computer skills Course work in an Allied Health field Ability to read and write, and one of the following: 6 months experience in skilled long-term facility/acute care hospital OR Enrolled in
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strategies that extend beyond academic publication. Familiarity with University of Michigan research processes (IRB, procurement, sponsored projects) or ability to learn quickly. Experience mentoring trainees
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Bachelor?s degree in a recognized field of science or learning directly related to the duties of the position At least three (3) years of clinical bedside experience as a registered nurse or respiratory
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candidate. Who We Are ITS empowers U-M faculty, researchers, staff, and students through innovative technology solutions that support teaching, learning, research, and work. We are committed to delivering