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stack based on identified vulnerabilities. Cloud & Enterprise Service Support - 10% Performs core operational administration, routine code/object migrations, and environment maintenance for enterprise
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data, and derived genomic datasets. Perform data quality control, extraction, transformation, and integration across genomic, phenotype/EHR and multi-omic datasets using secure cloud and high-performance
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and APIs to enhance decision-making capabilities across diverse industries. The AI Research Scientist will collaborate with a multidisciplinary team of Ph.D.-level AI experts specializing in multi-cloud
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, physics, and astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data
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initiatives. The department collaborates closely with academic units, research centers, and federal agencies. About the Position: The Network and Cloud Engineer designs, deploys, secures, operates, and
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report to the Associate Director of EAS-MaCS within OIT. Among the key duties of this position are the following: Assists in the administration of various MaCS (Messaging and Collaboration Services) cloud
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– Cloud and Infrastructure to help operate, support and continuously improve the University of Canterbury’s hybrid technology environment. You will work across cloud services and core datacentre
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cloud; we are looking for a skilled technician who can self-manage their time and work on projects without micromanagement. AWS experience is preferred, though not required. An interest in the cloud and
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HPC infrastructure; • installation, configuration, administration, and monitoring of: - CPU and GPU computing clusters, - storage systems, - virtualization and cloud computing platforms, - orchestration
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architecture and management and operating system level maintenance. The team provides systems, storage, identity, and cloud management services. Position Summary The Infrastructure Team Lead serves as the senior