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. Strong organisational and problem-solving abilities, enabling you to manage your workflow, prioritise tasks, and meet deadlines in a fast-paced environment. Confident computer and data entry skills, with
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renewable energy (with expertise in electrical machines). You are committed to delivering an exceptional learning experience for students and contributing to impactful research that supports the transition
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this project, we will develop automated approach to detect the defects in AI systems, including LLMs, auto-driving systems, etc. Required knowledge - self-motivated, willing to spend time and efforts in research
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of computer-based records systems/databases Relevant tertiary qualifications in finance or business with significant relevant experience and skills in management and current membership of the Institute
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to deliver strong results. Demonstrated experience in customer sales with the ability to rapidly acquire technical product knowledge in relation to University products and services. Proven computer
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Reference no:498560 Work type:Fixed Term - Full Time Location:Albury-Wodonga, Bathurst, Dubbo, Orange, Port Macquarie, Wagga Wagga Categories:Education and Training or Learning Support (i.e
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engineering and a strong foundation in data science. You bring a passion for solving complex problems and a track record of research excellence in optoelectronic materials, machine learning, or related fields
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and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
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and data environment. Qualifications: Degree in a relevant field (e.g. information technology, software development, computer systems engineering) with at least 4 years with relevant work-related
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time to meet deadlines. You will have advanced computer literacy, including experience with student administration systems or the ability to quickly learn new technologies. Strong analytical and problem