2,386 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Michigan
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service experience working with a diverse customer base. Ability to speak in a clear, professional and courteous manner while under pressure. Ability and willingness to learn quickly and to adapt to rapid
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learning culture for trainees and faculty, enhancing mentorship, teaching, and professional growth. Faculty Development: Oversee evaluations, recruitment, and development. Collaborating for Impact: Partner
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Cardiovascular Consortium (BMC2), and the Michigan Society of Thoracic and Cardiovascular Surgeons Quality Collaborative (MSTCVS-QC); this position is employed through BMC2. Learn more at www.mishc.org and
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activities. Help coordinate communication, logistics, and alignment across project teams and departments. 20% Professional Development & Learning Participate in structured learning sessions to gain exposure
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of more Olympic Sports. Assist ticket managers with home/away athletic events to include working in a gameday capacity. Work with various ticket managers to learn topics to further career in ticket
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are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Work Schedule Full Time hours, 40 hours per week, weekday schedule will vary
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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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change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Background Screening The University of Michigan conducts background checks on all job
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time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information This is a half-time, term-limited position through March 2027. Extension
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dedicated colleague to teach a wide range of undergraduate statistics and data science courses, especially modern methods of applied statistics and hands-on data analysis, in an engaging and dynamic manner