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based on an applicant's: Capacity to communicate complex ideas and theory, undertake research, and deliver mental-health services at a level equal to that required to gain entry into a postgraduate
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techniques for autonomous and data-intensive systems. The role is part of a defined program of research aimed at developing resilient and high-performance AI architectures for secure and real-time applications
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industry project, within our established research program in applied AI. You will work on shaping, developing, and evaluating a cutting-edge AI platform that enhances clinical decision-making. The research
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
& PEWER Academic Level B Research Fellow (Computer Science) Engage with world-class computing infrastructure and work in partnership with the Australian government Develop sophisticated AI approaches
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edge decomposition of graphs or fractional structures in graphs. You will have the ability to solve complex mathematical problems. If you are excited about contributing to cutting-edge research
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Sciences, Urban Studies, Engineering, and Computer Science to advance research on climate change and global grand challenges. The School of Project Management in the Faculty of Engineering at the University
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Innovations Group seeks a forward‑thinking expert in statistical machine learning to translate complex biological datasets into actionable AI‑driven insights. You will enhance genomic selection and breeding
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contribute to both pre-clinical and clinical studies—including major clinical trials and the Peripheral Vascular Biobank. You will lead complex research activities, support ethics and governance submissions
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a unique three-year extended masters-level, professional-entry Doctor of Physiotherapy degree. Macquarie is a university engaged with the real and often complex problems and opportunities that define
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, methodology, and delivery to drive high-quality, impactful outcomes. You will operate as a subject matter expert within a supportive research environment, providing informed advice, resolving complex issues