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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 15 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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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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, 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
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Deadline 4 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Research Fellow in Computational Neuroscience Job No.: 686523 Location: Clayton campus Employment Type: Part-time, fraction (0.7) Duration: Fixed-term appointment until 30 November 2026 Remuneration
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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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international peers working on the program, industry and government stakeholders, and funding bodies. Exploring, leading and coordinating opportunities for new research proposals, initiatives, or collaborations
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will streamline how experts and stakeholders process, interpret and access complex, high‑volume information, and unlock new capabilities in modelling, data integration and knowledge retrieval for current