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across digital environments. You will possess experience in digital measurement, insight and reporting best practice with an understanding of machine learning and AI trends. You will possess demonstrated
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PRIMARY DETAIL If you are a Diploma-Qualified Early Childhood Educator with a strong background working with children aged 0–5 years and a commitment to inclusive, evidence-based early learning — we
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functions in the form of technical support. The Technical Officer- Medicine will be required to build strong professional relationships with academics to deliver outcomes supporting learning and teaching
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other interns across Australia. This year’s Pawsey Summer Internship Program will focus on research projects targeting: Your Computational Domain / Field Machine Learning & Artificial Intelligence (ML
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, Machine Learning, and Big Data Analysis To Apply We encourage all candidates who meet the selection criteria to apply for this role. Please submit: A current CV A cover letter specifying whether you are
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the below selection criteria (maximum 2 pages): Completion of, or working towards, a degree or certificate in Accounting/Finance and/or relevant experience. Strong computer skills including Microsoft
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are met in a high-volume work environment. Effective computer and data entry skills using the Microsoft Office suite and ability to adapt to the use of new software packages with high attention to detail
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group of PhD researchers who will tackle the most pressing questions in Machine Learning while ensuring AI serves humanity responsibly. You'll work within one of our specialised research themes, each
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and communication skills, with a willingness to learn and take direction. 5. Basic computer literacy and willingness to develop further skills 6. Demonstrated ability to work effectively in a remote
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Research Areas and Capabilities: Digital Engineering, Artificial Intelligence (AI) and Human Machine-Teaming Aerostructures and Flight Science Advanced Composite and Alloy Additive Manufacturing Propulsion