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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
and Host Area The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning
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approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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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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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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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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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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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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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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Culture: UNSW offer a competitive salary and access to UNSW benefits including: Flexible working Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development
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the setup, calibration, and maintenance of molecular biology equipment (e.g. PCR machines, liquid handlers). Running samples through analysis equipment and assisting in troubleshooting. Maintaining laboratory