121 parallel-computing-numerical-methods uni jobs at Wayne State University in United States
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the personnel or activities of an assigned unit, e.g. summary of travel expenses, status reports of program applicants and academic examination score reports. Provide typing duties of a standard and non-standard
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, and methods of process improvement. Prepare periodic statistical activity reports, maintain unit files and record systems and monitor computer hardware/software services; resolve problems as they occur
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Knowledge of social work, research methods, and statistical analysis. Technical skills: Proficient with computer software for project management (Trello and TimeCamp), statistical analysis (such as SPSS), and
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: • Support the Clinical Medicine I, II, and III courses through instructional and academic activities, as assigned. • Contribute to additional teaching or academic responsibilities within the Program
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methods and procedures and monitor workflow and staffing levels. Coordinate use of facilities, services and equipment which includes space leasing, subcontracting arrangements as well as initiating requests
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assign work activities; train in appropriate office methods and procedures and monitor workflow and staffing levels. Coordinate use of facilities, services and equipment which includes space leasing
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student questions regarding program and class registration, contact departments concerning expired internal revenue bills, contact vendors to resolve billing or service problems). Provide functional work
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supervision to clerical support personnel. Distribute and review work. Train in appropriate office methods and procedures. - Perform related work as assigned. Unique duties: Qualifications: - High
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support personnel. Distribute and review work. Train in appropriate office methods and procedures. - Perform related work as assigned. Unique duties: Qualifications: - High school graduate with
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numbers, trends, and data and come to new conclusions based on the findings. Able to assess the effectiveness and accuracy of new data sources and data gathering techniques for enhancing predictive methods