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successful in this position, you’ll have: A Master or Honours degree in Computer Science related field Demonstrated expertise in ML, with significant experience in designing and implementing large-scale models
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on the project team. Demonstrated experience in appropriate qualitative and quantitative research methods, software and tools in a relevant research context. Demonstrated experience of working with Aboriginal and
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fabrication, with the ability to prototype and test light delivery and optical feedback systems. This role also involves conducting numerical modelling of light propagation in biological tissues, contributing
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material, assessing students and the supervision of students enrolled in selected courses within the program. You will participate in the program’s continuing review of course content and development
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project management skills, and the ability to prioritise work, work to deadlines and undertake multiple parallel projects Demonstrated ability to identify, assess, test and evaluate technical applications
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selected courses within the program. You will participate in the program’s continuing review of course content and development, delivery, teaching methods (including online delivery methods) and methods
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of the highest numbers of international student enrolments within Australian universities; consequently, compliance requirements are significant with State and Federal legislation imposing numerous and frequently
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selected courses within the program. You will participate in the program’s continuing review of course content and development, delivery, teaching methods (including online delivery methods) and methods
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within the Future Technologies cluster. Your active involvement in the college’s ongoing reviews of course content and teaching methods, including innovative online delivery techniques, is crucial
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selected courses within the program. You will participate in the program’s continuing review of course content and development, delivery, teaching methods (including online delivery methods) and methods