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, Peoplesoft, and Ebuy) Candidates need experience in a receiving environment, knowledge of DOT regulations, strong communication skills, and must possess computer skills necessary to create, sort, and manage e
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Science, or a closely related field Prior coursework and working experience in data science, machine learning, statistics, or related areas Proficiency in Python for data analysis and modeling, machine learning
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supervision Competency in computer programs, telephone etiquette, and other office procedures Ability to work in a high volume, fast paced clinic Excellent customer service skills Ability to work over-time
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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results, specimen collection information and addition of tests to existing orders. Maintains records of laboratory reports as assigned and perform other clerical related duties. Learn the computer to obtain
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performs a wide variety of moderately difficult media/production tasks in a fast-paced, time-sensitive educational environment. These include on-site support for distance learning classrooms in multiple
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instructional classes for new users of the SEAS machine shop -Instruct users in machine shop best practices and fabrication techniques. -Ensure all personnel in the shop are following University shop policy and
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of area after work completion, perform repairs to Electrical system by following supervisor's direction, blueprints & work requests, follow safety codes & regulations, wearing safety equipment & instruct
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how