806 parallel-and-distributed-computing-"UNIS"-"Meta" positions at University of Pittsburgh
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telephone, computer, calculator, ability to communicate via phone, email and virtual platforms, ability to attend meetings in person or virtually. High level of writing and reading skills. Physical Effort
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computer, problem solving and organizational skills. Work must be accurate, complete and timely. Experience with Outlook, Teams, Zoom, Microsoft Suite, Excel, PowerPoint and Endnote is a plus. Physical
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computer, problem solving and organizational skills. Work must be accurate, complete and timely. Experience with Outlook, Teams, Zoom, Microsoft Suite, Excel, PowerPoint and Endnote is a plus. Physical
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of Pittsburgh’s School of Computing and Information Systems or an equivalent computational, informatics, or engineering program at the University of Pittsburgh. The incumbent must quickly learn new concepts
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computer-keyboard-video phone other than traveling to other buildings on campus for meetings/events on occasion. Must be able to sit or stand for prolonged periods of time. The University of Pittsburgh is
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requires the ability to make independent decisions regarding study operations. Must be able to work at a computer using multiple software programs and make frequent visits to various ICUs and other campus
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up to 30 pounds and use a ladder up to 10 feet. Assignment Category Full-time regular Job Classification Staff.Information Technology Program Supervisor Job Family Information Technology Job Sub-Family
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Dental Assistant Dent Med-Dental Public Health - Pennsylvania-Pittsburgh - (25003372) The Dental Assistant will support the General Practice Dental Residency Program by maintaining a clean clinic
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or procedure areas in accordance with DLAR and/or EH&S policies and practices, successfully enroll in University of Pittsburgh Animal Exposure Surveillance Program (AESP) and other medical surveillance
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mentorship and guidance to junior staff Present findings and updates to internal and external stakeholders Qualifications: Master's or PhD in Data Science, Computer Science, Statistics, or a related field, or