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) is seeking a talented academic to join as a Lecturer in Machine learning and Computer Vision. We are looking for a teaching and research academic with a strong expertise in applied AI and current
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comprehensive metadata schema is followed, consistent with relevant industry standards (e.g., ISO 19115). 2. Geospatial Analysis and Machine Learning: Develop and implement analytical tools and routines
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focuses on scalable, AI-driven decision-making in collaboration with defence industry partners and an academic partner at the University of Melbourne. One role focuses on machine learning for decision
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location About This Opportunity Information Technology Services (ITS) delivers the digital foundations that support UQ’s teaching, learning, research, and engagement. As the first point of contact for all
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degree in a relevant discipline with a research component, or equivalent research experience. Experience in one or more of: data analysis, data visualisation, statistics, text analytics, or machine
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relevant to integration of machine learning and mechanistic models, and development of engines for efficient processing and visualisation of large-scale datasets and system geographic information and
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management and machine learning. Our research focuses on how core data systems can enhance AI, and how AI can improve the scalability and intelligence of data infrastructures. We’re looking for a motivated
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Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning
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on your own. Learn from experienced colleagues and develop new skills across multiple disciplines. Outstanding Benefits 20 days annual leave per year. 10 sick days annually. 5 carers’ days (non-cumulative
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impact—supporting the learning experiences of future clinicians and contributing to a community that’s driven to create positive change in Queensland and around the world. Key responsibilities will include