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International Program (ACDP-IP) partners with multiple organisations across the Asia-Pacific to build laboratory capacity, improve the quality of laboratory diagnostic services, and laboratory biosafety and
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Build software that supports CSIRO’s leading research Work in an agile, innovative, and autonomous team Collaborate with experts across tech and science The Data Management and Applications (DMA) team, part of CSIRO’s Information Management and Technology (IMT) group, develops software solutions...
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experimental methods, equipment or software. Show initiative to seek new approaches to meet experimental or technological needs when encountering new problems where methods are not defined. Participate in
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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
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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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quickly to changes. Within broad guidelines, use professional expertise, knowledge of other disciplines and research experience/achievement to formulate, develop and complete an approved research program
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methods are not defined. Role particulars Location: Newcastle, NSW. Salary: AU$100K – AU$113K per annum (pro-rata for part-time) plus up to 15.4% superannuation/ share combined salary too Tenure & work
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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