Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Diagnostics, Surveillance & Response Program About CSIRO As Australia's national science agency, CSIRO is solving the greatest challenges through innovative science and technology. Many of our iconic
-
of the innovation system. The Postdoctoral Fellow will be based in the Energy Systems Program within the CSIRO Energy Research Unit, which plays a key role in Australia’s energy transition. CSIRO
-
duties will include: Contribute to the efficiency processing of asset related tasks using CSIRO’s systems, including SAP and Microsoft Dynamics. Identify, query, and resolve potential issues associated
-
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
-
, 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
-
systems. Developing approaches and techniques for solving challenges associated with power system transformation. Role particulars Location and office arrangements: Perth (Kensington) WA; Newcastle NSW
-
an Export Administration Regulations (EAR) clearance/approval, to perform the inherent requirements of the position. Also, due to the specific duties and/or conditions associated with this role, the preferred
-
modifications to methods requiring some innovation. Design data recording and entry systems. Conduct literature reviews, investigations and inspections in the field or laboratory including associated analysis
-
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
-
: Curating responsibilities including identifying, sorting, and mounting specimens. Using computer skills to transfer information from insect specimens into morphological data matrices. Supporting research