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cloud/on-prem platforms using tools such as Mulesoft, Jitterbit, or equivalent. Develop pipelines, ETL/ELT processes, and API-based data flows across internal and external systems. Conduct data analysis
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, cloud-based data infrastructure that supports national research efforts. In this role, you’ll work with a dynamic team to build data pipelines, optimise databases, and manage diverse terrestrial ecosystem
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cloud teams for integration and alignment of asset and service data Lead complex ServiceNow enhancements and integrations spanning ITSM and ITOM suites Develop and review advanced scripts, flows, and
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• Participate actively in ULS and campus-wide working groups and committees, as appropriate Required Qualifications: • Master's degree in Library and Information Science, Archival Studies, from an ALA
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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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Development Center's strategic plan, marketing initiatives, event management, and broader efforts Identifies opportunities for program awareness and impact, resource expansion, and increased participation
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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
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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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Cloud products, Drupal web content management, and all areas relevant to the role. OTHER TASKS AS ASSIGNED (5%) Qualifications REQUIRED QUALIFICATIONS: ● BA/BS or a combination of related education and
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on-device AI to ensure low latency, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and