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technical landscape of cloud computing environments and their implications in education, research, and operations. Proven ability to successfully develop and lead the implementation of robust digital and/or
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environments aligned with University guidelines and relevant data-use regulations related to human-subjects research data. Supports cloud computing resources, including performance optimization, resource
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Posting Summary Logo Posting Number STA00988PO25 Job Family Information Technology Job Function Systems Programming USC Market Title Systems Programmer Link to USC Market Title https
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retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) Flexible spending account options for medical and childcare expenses Training and conference opportunities Tuition
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of experience in Information Technology, Computer Science, Data Science, or related field. Education may be substituted for experience on a year for year basis. Six (6) years of relevant experience as a data
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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research; and collaboration with faculty, students, and interdisciplinary research teams. Performs other duties as assigned. Required Education and Experience: Bachelor’s degree in Computer Science, Data
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College of Saint Benedict/Saint John's University | Minnesota City, Minnesota | United States | about 1 month ago
College of Saint Benedict and Saint John's University is available at https://www.csbsju.edu/ . Candidates requiring disability accommodations during the search process should contact CSBSJUVPIA
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) Type of Contract Permanent Job Status Not Applicable Hours Per Week See description Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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prepares data for analysis through custom and open-source tools and workflows to analyse data as required by the LEARN team. Ensure said pipeline is deployable and operable on high-performance computing