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Field
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unaccredited). Assist the Program Director in ensuring that the training programs are in full compliance with CUGME Office policies and procedures, as well as relevant institutional policies and procedures
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Experience writing proposals Experience in cloud computing, including containers Experience in HPC topics, such as parallel programming Note: Visa sponsorship is not available for this position. Rewards and
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The University of Southern California (USC) Information Technology Services is seeking a Research Data Engineer to help build and advance the secure computing capabilities that enable cutting-edge
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Department: Location: Belknap Campus Time Type: Full time Worker Type: Regular Job Req ID: R108683 Minimum Requirements: Bachelor's degree in Computer Science or a related field and eight (8) years
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experiment involving multiple parallel workstreams. Coordinate and manage relationships with external vendors, contractors, and research partners. Develop project plans, implementation timelines, and systems
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laboratory and/or the hospital’s extensive point of care testing program as well as to participate in the leadership of other sections of the laboratory depending upon one’s interests. The special chemistry
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage
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Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training
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documentation of experiment results Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets (high-throughput, massively