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ITS, Enrollment Management, University Life, and other units across the campuses. About the Position: The Senior Product Manager leads the product management team as part of our Patriot Connect program
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working at Rutgers University More Jobs from This Employer https://main.hercjobs.org/jobs/21866495/unit-computing-specialist Return to Search Results
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selection process for an indefinite employment contract within the framework of a Line of Research Research Line: Computer architecture and systems software: mobile, high-performance, cloud, and exascale
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University of California, San Francisco | San Francisco, California | United States | about 6 hours ago
: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description UCSF's Temporary Employment Program (TEP) recruits and hires temporary employees for immediate clerical
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, service platform technology, cloud computing, network security, authentication, access control, countermeasures against cyber attacks, and privacy protection). (2) Support for environment maintenance and
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CUNY City University of New York - System | New York City, New York | United States | about 2 months ago
of enterprise applications and infrastructure solutions with a special emphasis on cloud or hybrid cloud applications. Under administrative direction of a university IT manager, with broad latitude
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science for the group of subjects related to the ERP systems and cloud computing at the Department of Information Systems Development Where to apply E-mail natjecaji@foi.unizg.hr Requirements Research FieldInformation
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processes and applications to secure cloud environments. You must have cloud computing experience and should also have experience with full-stack web application development. This position will report to
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wellness programs Data allowance and home office equipment reimbursements Relocation assistance (if eligible) Tuition reimbursement program (if eligible) Our Employee Benefits TTI employees can choose from
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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