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improvement initiatives. Computer literacy with the ability to utilise a maintenance management system to effectively procure goods and services. Special Conditions This position will be responsible
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electrical works, including a demonstrated ability to consult and liaise with staff from all levels of university and external parties. Effective computer and mobile literacy with experience utilising digital
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Technical literacy: Foundational understanding of computer networking, common operating systems, the software development lifecycle. Familiarity with common vulnerability databases (e.g., CVE/NVD). Experience
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reporting against milestones. Experience working with a range of computer systems and applications, including NVivo, Xcel. Named author on peer reviewed publications (desirable). Demonstrated superior
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of the organisation. Demonstrated high level of computer literacy and proficiency in the production of high-level work using software such as Microsoft Office applications and specified University software programs
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team that values open communication, shared learning, and mutual respect, while building strong connections across the University and with external partners. This is a unique opportunity to contribute
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. Why Your Role Matters: The School of Humanities & Social Sciences provides an understanding of how we navigate the world, what we can learn from our past and how we can make a difference going forward
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-largest school and has experienced significant growth in recent years, with enrolments increasing by almost 150% since 2021. All coursework programs are accredited by the Australian Computer Society
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
-solving skills, attention to detail and high-level computer literacy will be key to establishing and enhancing our operational procedures and systems, as well as identifying opportunities for efficiency and
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much