28 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at CSIRO in Australia
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mineral processing and lab trials using scientific machines to measure and analyse materials recording results and learning how research supports industry and Country If the right opportunity is inside
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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successful candidate, you will bring: Essential A tertiary degree in Electrical, Electronic, Communications, Radio Frequency (RF), or a related engineering field (such as Mechatronics, Aerospace, Computer, or
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Provide support for scientific research through machining and fabrication Collaborate
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, and equipment, including Environmental Monitoring (EM) programs and Computer Systems Validation (CSV) for manufacturing and quality‑related systems. Experience supporting regulatory compliance
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to prioritise, work with ambiguity, meet deadlines, and adapt to change. Strong problem-solving skills, ability to learn new systems, and manage competing priorities. Collaborative working style and ability
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, safe working practices, including Lock out - Tag out and permit systems. Desirable Possession of High Voltage Operators qualification or willingness to acquire high voltage operators’ qualification
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responsible for reviewing and updating the Standard to reflect new technical insights, regulatory changes, lessons learned and site-specific requirements and communicating clearly and promptly any changes made
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projects. You will be responsible for managing and supporting the Science Data Processor High Performance Computing (HPC) infrastructure, including platforms, workload/resource managers, and parallel
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. Willingness to continuously learn, adapt, and apply new skills within changing environments. Ability to work effectively, independently, or as part of a diverse multi-skilled team. Desirable (How to Stand Out