23 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at CSIRO in Australia
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specialists through a nationally funded program. Design engaging learning and cohort experiences for Masters and Honours students nationwide. Join a collobarativ and supportive CSIRO team with flexible, hybrid
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their respective fields. They will engage with a distinguished national cohort of peers from diverse disciplines and locations, fostering a rich and dynamic learning experience. Download the Program Guide for more
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with a large number of parameters. Ability to obtain and maintain a security clearance which requires Australian Citizenship. Experience in cryogenic experimental measurement and machine learning to help
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contractual arrangements between the NASA and Commonwealth Scientific Industrial Research Organisation (CSIRO). For more information on CDSCC, please visit: http://www.cdscc.nasa.gov The opportunity
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(Kensington), Canberra (Black Mountain), Hobart, Brisbane (St. Lucia), Sydney (Marsfield) Salary: AU$135,571 – AU$158,863 per annum (pro rata for part-time), plus 15.4% superannuation Tenure & work schedule
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arrangements: Sydney (Marsfield), Canberra (Black Mountain) and Brisbane (Dutton Park, St Lucia and Pullenvale) Salary: AU$76,068 - AU$96,813 per annum (pro-rata for part-time) plus, up to 15.4% superannuation
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operational environments, or the ability to quickly learn these tasks. Ability to work effectively as part of a small team and to complete routine tasks independently when required, in accordance with
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mechanical systems to ensure operational reliability. Show willingness to learn and assist with cryogenic maintenance tasks as part of broader technical responsibilities. Keep accurate maintenance logs
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desirable, candidates from related consulting, research or testing backgrounds who can demonstrate adaptability and a willingness to learn will also be strongly considered. If you’re passionate about fire
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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