2,897 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Washington in United States
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. Using police telecommunication system, notifies and dispatches appropriate personnel in response to specific incidents requiring investigation. Conducts computer inquiries and makes computer entries of
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https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary or Regular? This is a regular position FTE (Full-Time Equivalent): 100.00% Union/Bargaining
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https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/ Shift: First Shift (United States of America) Temporary or Regular? This is a temporary position FTE (Full-Time
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Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: Night Shift (United States of America) Temporary or Regular
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) Premium - $1.25/hour Night Shift Premium - $5.00/hour Weekend Shift Premium - $4.00/hour Overtime Pay Relocation Assistance Available Benefits: For information about benefits for this position, visit https
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this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: Night Shift (United States of America) Temporary or Regular? This is a regular position FTE (Full-Time Equivalent): 90.00% Union
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academic success–related competencies, which includes academic success strategies, time management, study skills, and other relevant topics. Utilize participation data, feedback, and learning outcomes
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. Demonstrate positive leadership skills such as empathy, creativity and fairness. Regularly assign, instruct and check the work of staff and students. Establish priorities in daily work to be done in section
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) Coordinate with UW APF to support Deans and faculty learning related to employee relations, HR policies, visas, and other HR/employment matters. 5) OPERATIONS: a) Lead and supervise the UWT AHR staff
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, mathematics, statistics, stochastics and science --the building blocks of machine learning and artificial intelligence. Our mission is to analyze, design, optimize and implement complex systems where people