11 cloud-computing-"https:" "https:" "https:" "https:" positions at Princeton University
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with ERP transformation program goals, industry best practices,and technical standards (e.g., NIST). Design end-to-end ERP systemarchitecture, including integration with existing in-house custom
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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), this role will provide functional and technical expertise for data and reporting within modern cloud-based ERP systems and will establish the ERP reporting strategy, define requirements, and successfully
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, to align with ERP transformation program goals, industry best practices,and technical standards (e.g., NIST). Design end-to-end ERP systemarchitecture, including integration with existing in-house custom
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, to align with ERP transformation program goals, industry best practices,and technical standards (e.g., NIST). Design end-to-end ERP systemarchitecture, including integration with existing in-house custom
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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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performance of mission-critical infrastructure, including server environments, networks, workstations, and cloud solutions. Develop and maintain disaster recovery and business continuity plans for all critical
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. DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful
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academic departments across the University. Ensures accurate updates to budgets in EPM, the Oracle cloud service used for operating budget planning at Princeton. Monitors budgets and actuals in EPM