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Innovations Group seeks a forward‑thinking expert in statistical machine learning to translate complex biological datasets into actionable AI‑driven insights. You will enhance genomic selection and breeding
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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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focus of this Winanga-y Postdoctoral Fellowship role is to address a critical gap in agricultural technology adoption by investigating how AI and machine learning outputs can be better translated
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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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maintenance, inspections, and defect repairs across various mechanical systems to ensure operational reliability. Show willingness to learn and assist with cryogenic maintenance tasks as part of broader
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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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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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. Familiarity with scientific instruments, data collection/ processing techniques. Strong computer literacy and ability to interpret technical documents. Applicants with a current SCUBA diving certification (e.g
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. Familiarity with scientific instruments, data collection/ processing techniques. Strong computer literacy and ability to interpret technical documents. Applicants with a current SCUBA diving certification (e.g
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with excellent amenities and experience the unique beauty and cultural significance of the Murchison region. We’re looking for people who thrive in hands-on roles, value teamwork, and are eager to learn