46 cloud-computing-"https:" "https:" "https:" positions at Rutgers University in United States
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biology approaches. Experience with HPC or cloud computing environments for large datasets. Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions
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knowledge and familiarity with cloud based data storage and computers. Coordinates breeding objectives with graduate students experiments, for efficient use of field space and labor for completing objectives
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Full Time Working Hours Standard Hours 37.50 Daily Work Shift Day Work Arrangement Consistent with the current application
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for Regulatory Science, the Center of Excellence for Rapid Surveillance of Tobacco, the Tobacco Dependence Program, a Tobacco Industry Marketing Program, and a Tobacco Control Law & Policy Resource
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, Google Cloud Platform, Microsoft Azure. Knowledge of systems architecture, network security, cloud computing, and data governance. Experience with ERP systems, student information systems, and other
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for Regulatory Science, the Center of Excellence for Rapid Surveillance of Tobacco, the Tobacco Dependence Program, a Tobacco Industry Marketing Program, and a Tobacco Control Law & Policy Resource
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various university systems including HCM, ROCS, Hourly Payroll, Division Absence Reporting System, Guardian I-9, Oracle Cloud, OSFP Portal, etc. Provides supervision to the central human resources
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insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Full Time Working Hours
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savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu
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cyberinfrastructure (e.g., ACCESS, NAIRR, and DOE supercomputers) or cloud environments (e.g., AWS, GCP, and Azure) ● Support application of ML/DL/CI techniques across topics and domains ● Deliver training on ML/DL/CI