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continued expansion of the biorepository. Develop, validate, document, and maintain reproducible computational pipelines using workflow-management systems Work in high-performance computing and cloud
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sharing and integration of systems. This role focuses on innovative solutions leveraging cloud and edge technologies, enhancing data connectors, and pushing the boundaries of data integration. You will play
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, stereo matching, point-cloud reconstruction and quantitative performance evaluation Perform simulations, experiments, data acquisition and statistical analysis Prepare research manuscripts, technical
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implementation of scalable scientific computing solutions spanning high-performance computing (HPC), cloud computing, research software engineering, data-intensive workflows, artificial intelligence and machine
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relevant. Requirements: We welcome applicants from all disciplines and qualification pathways, including NITEC, Diploma, Bachelor’s, Master’s or PhD holders, as well as candidates with equivalent practical
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: Mobile App Development Computer Systems Cloud Computing (specifically with knowledge of AWS) Salary is competitive and additional teaching opportunities are available. For more information about the
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-time analytics, cloud/HPC hybrid, edge geospatial compute, neuromorphic, quantum), pilot new capabilities, foster innovation partnerships (academia, industry, federal sponsors). Serve as principal
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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lifecycle management. Lead cloud integration, peering, caching, and interconnection partnerships. Oversee cybersecurity architecture and threat mitigation. Oversee IAM to ensure secure, least‑privilege, and
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(pro-rata for part-time) plus 15.4% superannuation Tenure & work schedule: Specified Term of 2 years; Full-time Reference: 103430 As the successful candidate, you will bring: PhD or equivalent experience