Sort by
Refine Your Search
-
of secure, Administrative LAN systems and Unified Communications networks About CSIRO As Australia's national science agency, CSIRO is solving the greatest challenges through innovative science and technology
-
for ensuring the stability, performance, security and evolution of CSIRO’s enterprise and scientific storage platforms. You will provide senior technical leadership across core storage and data protection
-
to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Great ongoing opportunity to support world-class science with advanced computing Apply
-
quality and data classification aligned with the Protective Security Policy Framework. Establish and embed data discoverability practices and processes for internal data sharing and interoperability
-
activities across the Energy Technologies Research Program! Joining a dynamic multi-disciplinary team, in this role, you will engage with and advise Project Leaders, support project planning and execution, and
-
to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Contribute to leading national research in secure, private and trustworthy digital
-
Shape future-ready cybersecurity solutions across critical technologies Contribute to Australia’s digital security and economic strength About CSIRO As Australia's national science agency, CSIRO is
-
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
-
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
-
: Curating responsibilities including identifying, sorting, and mounting specimens. Using computer skills to transfer information from insect specimens into morphological data matrices. Supporting research