627 high-performance-computing positions at University of Washington in United States
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& Responsibilities: Run computational bioinformatics pipelines on a local high-performance computing cluster to analyze genomic datasets. Conduct variant analysis and curation, helping to identify genomic variants
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, safe operations, high customer satisfaction and program success. 2. Assures integration of clinical functions to achieve program success, high customer satisfaction, excellent patient care and safe
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to the orthopedic technicians' schedule that may impact the location reporting to the following day. Responsible for entering medical equipment appointments. Performs splinting and casting under the direction
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on physician input. Performs other duties as assigned. Working Conditions: Job Location/Working Conditions Normal office environment. Physical Effort Typically sitting at desk or table. Repetitive wrist, hand or
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exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time. Required Qualifications Education: High school diploma
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responsibility of this position is for the successful operation of the program in full compliance with all such rules and regulations. As a condition of employment, the Employee shall be required to participate
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exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time. Required Qualifications Education: High school diploma
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quality measures to ensure maximum program impact. Team members will be expected to maintain high attention to detail with data collection, and create/identify areas of improvement and work collaboratively
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team of Social Workers is dedicated to advancing UW Medicine's mission of improving the health of the public. We strive to provide high quality patient-centered care and support the continued learning
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& Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis