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ability to manage deadlines, prioritise accurately, and work autonomously under pressure. High computer literacy, including Microsoft and Adobe suites, with the capacity to rapidly learn specialist software
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to, and enthusiasm for, the provision of excellent and accurate client service. Sound knowledge of key administrative policies and processes in a University or the ability to rapidly acquire that knowledge
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collaboratively with colleagues from multidisciplinary disciplines Excellent time management and planning skills, with a commitment to delivery Strong background in machine learning and/or deep learning, and signal
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variable models (e.g., CLIP, GLIP, MaskCLIP). Knowledge of Transferability in Machine Learning is desirable. Knowledge in Active Learning is desirable. Programming skills and experience with dataset
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regulatory standards. Ability to analyse and interpret research data and learn new research techniques. Excellent organisation and time management skills with the ability to work towards deadlines and maintain
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management system and the ability to learn new computer applications would be advantageous Working at heights licence would be advantageous Sound knowledge of University of Queensland Campuses would be
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communication styles to suit the audience Knowledge of key university policy and procedures affecting students, or demonstrated ability to rapidly acquire and apply such knowledge Excellent oral, written and
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, audiovisual equipment, and computer systems used in both laboratory and field settings. The role may involve participation in overnight field teaching courses and occasional work outside standard hours
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using AI and machine learning in developing new tools for better management of TIC members transformer fleets. Guided by experienced academic staff and supported by Industry experts through the TIC
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. Demonstrated experience in working with students on placement, and/or demonstrated exposure to student administration, teaching and learning activities or other similar educational context. Demonstrated ability