2,552 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Michigan in United States
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; what was learned from this experience, and what you did with what you learned. In order for the Career Portal system to accept a cover letter and one page statement, please include these as a page of
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teach a two-credit seminar (20% effort for the semester) on Free Speech and College Campuses during the winter 2027 semester. The selected candidate will be expected to teach, hold regular office hours
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computer and keyboarding skills; effective telephone etiquette. Reliable attendance and punctuality. Active listening, written, verbal, and information technology skills. Work Schedule Hours of operation
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simultaneously. The candidate will have excellent computer skills with proficiency in all Microsoft software applications. The candidate will be expected to complete 12 Hematology/Oncology CEUs annually
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. Required Qualifications* Basic computer skills and willingness to learn new software. Good communication skills; able to follow instructions accurately. Strong attention to detail and ability to follow
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goals. As a team, we have agreed on 7 core values: Learn what is important to others Seek to understand and be understood Be a lifelong explorer We do what we say we are going to do We've got your back
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daily. Procedure Assistance: Assist medical personnel during procedures and log all necessary information on control sheets. Ultrasound Support: Load images for volume navigation into ultrasound machines
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computer skills are desired. Work Schedule Shift: DAY/EVE ROTATOR (7a-330p/3p-1130p) FTE: 0.6 (24hrs/wk) Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion
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ability to assess, interpret, and analyze clinical information independently and collaboratively. Computer competency including Word, Excel, and be able to extract data from University supported computer
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collaboratively. Computer competency including Word, Excel, and be able to extract data from University supported computer databases. Demonstrated understanding and support of patient and family-centered care