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affect surface outcomes, benchmark against conventional techniques, and evaluate performance of the finished components. You’ll also delve into intelligent automation and machine learning to optimise
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, continuous learning, and improving health outcomes across Australia, this is your opportunity to thrive in a supportive and impactful environment. Key responsibilities will include: Advance Regional
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strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do
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experience contribute to ongoing translational research program related to the application of statistical and machine learning methods in reproductive and perinatal medicine using both clinical quality
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, Health Sciences, Nursing, or a related field. Strong communication and computer skills (e.g. MS Office, Redcap, data management/analysis programs and other electronic communications). Experience working
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to troubleshooting and repairing equipment, you’ll play a key role in keeping learning and research environments running smoothly. In addition to the above, the Computer Systems Engineer will also: Developing and
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for deliverables produced. Advanced level of computer literacy, working with a range of computer systems and applications, including Microsoft Office 365 suite including Teams, One Drive, Power BI, Excel, Word
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activities. Work closely with academic staff across the University to identify opportunities to increase awareness of course offerings and learning opportunities through engaging with schools and throughout
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and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
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This scholarship aims to develop practical methods for optimisaton in large supply chain operations. Ideally candidates should have strong AI, machine learning, and optimisation backgrounds