60 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "U.S" "U.S" "P" positions at CSIRO
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Facility (ATNF), the only facility of its kind in the southern hemisphere. Our technology development program is the cornerstone of the ATNF and is an internationally recognised source of innovative radio
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experience with computer modelling. Strong communication, presentation, and report writing skills, complemented by adept problem-solving abilities through teamwork, stakeholder engagement, and client
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, Computer Science, Mathematics or a related field. Demonstrated experience developing software to support research outcomes. Strong written and verbal communication skills. A track record of scientific
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to work across time zones as needed. If you’re excited by cloud engineering, large‑scale scientific computing and the chance to contribute to a major global science mission, this is a great opportunity to
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: Curating responsibilities including identifying, sorting, and mounting specimens. Using computer skills to transfer information from insect specimens into morphological data matrices. Supporting research
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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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service with a diverse group of stakeholders. Experience with relevant computer software comprising Microsoft, Word, Excel and Outlook. Possess and maintain a current driver's license. Desirable Relevant
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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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discretion to decide on the timing of operations within the work team’s plan and plan to meet experimental and/or project demands. Respond courteously and efficiently to client requests, maintaining clear
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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