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. Applied experience in the analysis of genomic data (bioinformatics), including reference based and reference-free pipelines, and relevant coding languages (e.g. bash, R, Python), and a sound understanding
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. The role offers the opportunity to collaborate widely across CSIRO programs, engage directly with government and industry stakeholders, and translate research into deployable, real-world technologies
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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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transport measurements and knowledge of the experimental considerations of low-noise electromagnetic and quantum sensing measurements. Familiarity with scientific programming for data analysis and hardware
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. You do not need to know research language or have worked in a lab before. This program is built for people who want to learn by doing, grow confidence, and explore what a future in minerals and science
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applying increasingly sophisticated AI technologies to develop practical, responsible and scientifically credible solutions. Building on recent innovations in Generative AI and large language models, you
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languages such as Python or Bash, for automation, orchestration and source code management. Experience in providing services to research domains, including engaging with researchers to determine requirements
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: Essential criteria A tertiary qualification in Information Technology and/or equivalent relevant experience. Demonstrated computing skills as follows:Ability to develop software in modern languages (e.g
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: Refresh and maintain a rolling three-year strategic engagement plan for the Boeing US–CSIRO relationship, establishing agreed performance criteria and new business pathways. Build and leverage networks and
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and performance of existing methods by generating and pursuing novel ideas and solutions to scientific research problems. Evidence of advanced programming skills in languages and statistical software