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Help shape the future of cancer care through better data. This PhD scholarship offers the opportunity to work with a leading research team using clinical trials and real-world data to build machine
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-art digital twin platform for green energy generation. This digital twin platform will integrate machine learning models and engineering-based simulations with real-time sensor data to optimise
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connect sensitively and effectively across cultural contexts and bring working knowledge of local Aboriginal and Torress Strait Islander languages and customs. Your general computer literacy will support
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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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skills, including high level keyboard skills, experience with both the Microsoft Suite of applications, and financial software. Well-developed written communication and document presentation skills, with a
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Building tools to detect or prevent unsafe AI outputs Exploring regulatory gaps and proposing solutions This is an ideal opportunity for candidates with interests in machine learning, public health, ethics
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report on program expenditure. Computer literacy including demonstrated experience with Microsoft Office applications, in particular Word, Excel and Outlook, with the ability to learn and adapt quickly
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engineering tools and machines and will be highly proficient in the use of manual and numerically controlled machining methods suited to specific construction tasks. You bring a proven track record of
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to communicate with a diverse range of stakeholders through a variety of channels. Effective computer skills especially a sound knowledge of Microsoft Office package and a basic understanding of database
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have an equivalent combination of experience and/or education and/or training in an administrative field. They will also possess well-developed computing skills in using office computer applications