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of the broader SKA-Low Computing and Software group, which delivers advanced computing and technology solutions for the SKA Project. This group works on integrated control systems, high-performance
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: Essential criteria A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area, such as statistical machine learning, computational and quantitative
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judgment in complex and distributed settings. Demonstrated experience in managing complex resources, which may include, but are not limited to, compute servers, storage systems, networks, collaboration tools
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, Computer Science, Information Technology, or a related experience. A current NetApp certification (e.g., NCDA) is highly desirable, reflecting demonstrated expertise in enterprise storage systems
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possibly involving statistical or graphics software. Perform some non-routine analyses or technology development using a range of techniques, often working on several parallel and competing tasks. Work with
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Agroecology Team, you’ll work with a multidisciplinary group of entomologists, geneticists, ecologists and industry partners—supported by world-class laboratories, high-performance computing and specialist
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thrive. There are Studentships for Doctor of Philosophy (PhD) and Master students to undertake research in fields of interest to CSIRO. The student's research is co-supervised by CSIRO and a university
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engineering expertise to solve complex, computation-heavy challenges. Architect and deliver distributed software systems using containerisation and inter-process communication frameworks. Act as a trusted
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across a range of forums. Supervising PhD students within the Data61 Scholarship Program and supporting new project proposals and student opportunities. Collaborating across multidisciplinary teams within
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% superannuation Tenure & work schedule:Indefinite; Full-time Reference: 101889 As the successful candidate, you will bring: Essential criteria Education/Qualifications: A PhD in Computer Science, Electrical