45 high-performance-computing research jobs at University of Washington in United States
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Scheduled Hours 40 Position Summary Our clinical research program includes dozens of studies sponsored through the NIH, Department of Defense, National MS Society, and various pharmaceutical
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding
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. Candidates must be comfortable practicing and/or learning high-performance computing for large-scale observational seismology on local and cloud UNIX environments. Desirable additional areas of expertise
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Scheduled Hours 40 Position Summary Organizes and conducts high complexity molecular and cellular assays on human tumor biospecimens across multiple collaborative cancer research projects with
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construed as an 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
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microbiome data and/or analyzing sequencing data in a high-performance computing environment. Experience in BSL2 laboratory and familiarity with ELISA techniques. Demonstrated fieldwork experience in community
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Scheduled Hours 40 Position Summary Performs a variety of research, data base and clerical duties of a routine and technical nature in support of clinical research to ensure adherence to protocols
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assist with program marketing, advertising, and social media needs. Perform related tasks as assigned; Other projects and duties as needed. Research Program Coordination - 30% Coordinate and complete
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-environment interaction studies. Excellent communication skills and ability to work both independently and in a collaborative, multidisciplinary environment. Experience with high-performance computing and