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analysis of AV and provide input and recommendation for continuous improvement of tools and or processes. Managing AV documentation resources to include room information, schematics, equipment lists
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experimental enclosures with the ultimate aim of reconstructing the visual circumstances leading up to mate detection. The successful candidate will contribute to an Australian Research Council funded project
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conditions that differ from its training data. A robot operating in the real world therefore needs more than an accurate model: it needs to recognise when information is unreliable and decide how much
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support while ensuring smooth day-to-day procurement activities. The role also drives procurement performance improvement through data analysis, dashboard reporting, process optimization, training
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(Reportal). Demonstrated ability in business or data analysis paired with the technical capability to translate key findings into practical solutions or visual reports. (Desirable) About UQ As part of the UQ
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
background working in complex organization(s). You bring demonstrated experience in conducting statistical analysis, developing predictive models, data visualization, and AI/machine learning solutions, and
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reporting and meaningful insight from data analysis. Working closely with Digital Communications Advisor to create and deliver engaging student-focused content across all official social media platforms
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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range of analysis techniques Demonstrated experience in data visualisation techniques to communicate key concepts and insights Strong problem-solving skills, with the ability to create, innovate and
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AI infrastructure. The Opportunity This is an unprecedented opportunity for an outstanding data science and AI PhD candidate interested in brain data analysis and AI, supervised by Dr Mahsa Salehi