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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
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the Integrity Unit’s objectives. Your high-level duties will include: Work independently to plan, set, and work towards implementing high-quality security and risk program initiatives across CSIRO. Apply
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– AU$158,863k per annum (pro rata for part-time), plus 15.4% superannuation Tenure & work schedule: Indefinite; Full-time Reference: 101992 As the successful candidate, you will bring: Essential A PhD
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bring: A doctorate (PhD) in Astronomy, Astrophysics, or a related discipline, where the doctoral research demonstrates strong relevance to radio astronomy, astronomical instrumentation, data analysis
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successful candidate, you will bring: Essential A PhD (or equivalent experience) in behavioural science, psychology, social science, environmental science, or a related field, with a track record of original
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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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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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: Curating responsibilities including identifying, sorting, and mounting specimens. Using computer skills to transfer information from insect specimens into morphological data matrices. Supporting research