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mining. The team works across emissions abatement, dust control and waste management, applying science and engineering to reduce environmental impacts across the resources sector. In this role, you will
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of qualifications and research experience, in atmospheric or environmental chemistry or a relevant field, with at least three years of relevant post-PhD experience Demonstrated ability to deploy and operate research
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successful candidate, you will bring: Relevant qualification such as a Cert IV, Diploma or Bachelor’s degree in work, health and safety, or environmental science Demonstrated experience in the development and
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Australia that support Australia's environmental research, conservation and data-sharing capabilities. Build influential partnerships across government, research organisations and industry to drive
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resources. Working at the intersection of science, technology and environmental stewardship, you'll guide the transition of pioneering research into operational solutions while collaborating with experts
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, contributing to a collaborative and high-performing team environment aligned with CSIRO’s values. Commitment to health, safety, and environmental sustainability, including demonstrated understanding of safe work
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platforms, exploring novel computational and machine learning approaches, and helping researchers make effective use of genomic data across health, environmental and biosecurity domains. You'll thrive in
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Make a national impact on biodiversity and environmental DNA research Combine
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collections across the country, you'll support specimen sampling programs and the management of associated biodiversity data that underpin environmental DNA (eDNA) technologies and species identification
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, genetics and socio-environmental capability to support sustainable marine resource management and biodiversity outcomes. As a Genetics Data Systems Engineer, you will develop, maintain and optimise