1,781 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Washington
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essential in coordinating development and implementation of a spectrum of studies, including study subject recruitment, data collection and management processes for research, and program performance
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Environment (1 Year) Skills: 10 Key Data Entry, Accounts Payable Process, Computer Literacy, Confidential Data Handling, Customer Service, Deadline Management, Detail-Oriented, General Ledger (GL), High
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the Required Qualifications section. Skills: Computer Literacy, Financial Applications, Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word, Office Equipment, Payroll Systems, Supervision
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certification beyond what is stated in the Required Qualifications section. Work Experience: Research Laboratory Or Comparable Environment (5 Years) Skills: Clinical Research, Clinical Study Protocols, Computer
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Qualifications section. Work Experience: Clinical Setting (2 Years), Research Laboratory Operations (2 Years) Skills: Clinical Research, Clinical Study Protocols, Communication, Computer Systems, Database
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appraisals for all employees, providing proper performance-based feedback. • Position must supervise at least 2 FTE to maintain this professional staff exemption and compensation. • Will supervise a Program
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Desk and MIM processes, and managing those vendor relationships. Implement and sustain robust processes and capabilities through continuous improvement of methods, metrics, tools, training, and
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into the computer or onto data forms, generates tables, reports, statistics or computations. Maintains department records, reports, inventory and files as required. Training on various aspects of primary duties
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Scheduled Hours 40 Position Summary Offering a 4-day-10 hour schedule option as well as a bonus incentive program, Washington University Department of Otolaryngology (Ear, Nose, and Throat
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, intellectual excitement, artistic pursuits, and natural beauty. Creative Destruction Lab (CDL-Seattle) is an objectives-based mentorship program for massively scalable, science- and technology-driven startups