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disaster recovery, cloud technologies. Manage complex projects and resources for system implementation, upgrades, migrations, replacements, and renewals. Manage and optimize system infrastructure
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. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC
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cloud computing environments Familiarity with genomic databases and resources such as UCSC Genome Browser, gnomAD, and NCBI. Solid foundation in applied biostatistics and statistical interpretation
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: Contribute code in Python (and/or C++/JavaScript), work with APIs, and support cloud-based workflows (Google Cloud/Azure experience is a plus). Documentation and communication: Maintain clear technical
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, and execution of disaster recovery strategies for critical university systems. This position focuses on failover and recovery operations within Oracle Cloud Infrastructure (OCI) using Zerto and works
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, Kubernetes, Helm). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. A systematic approach to development and engineering, including debugging, DevOps/MLOps practices, and agile
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to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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of related experience; demonstrable experience in the following areas: Systems software development; TCP/IP and Ethernet networking;Hypervisor and Container platforms; Datacenter and Cloud operations
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service owners to support both delivery and longer‑term technical direction. The School is actively expanding its use of cloud-native and container-based architectures. This role plays a key part in
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AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection