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Australian National University | Canberra, Australian Capital Territory | Australia | about 11 hours ago
programme proposed for the Discovery project. This will be done in collaboration with the three chief investigators (named above) and a range of Australian and international collaborators. The project centres
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
Australia Application Deadline 6 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Observatory of Japan (NAOJ, under JSPS-KAKENHI International Leading Research (ILR) program; 22K21349) co-funded position offers a unique opportunity to work at the intersection of astronomy, optics, and
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complex analysis using both local and global datasets. applying nutritional geometry analysis apply advanced bioinformatics modelling techniques publish in peer-reviewed journals and present at conferences
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Job Reference: 1168098 About the Role: You will play a key role in advancing distributed and adaptive AI methods, focusing on scalable software frameworks, learning algorithms, and orchestration
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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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unprecedented power to uncover cell-type-specific and cell-state-specific genetic mechanisms underlying human biology and disease. The Postdoc joining this program will have the opportunity to: Drive high-impact
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learning and mechanistic modelling, sensor network development, efficient data sorting and processing algorithms, real-time and model predictive control, and transformative applications in the wastewater
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planning algorithms for GPS-denied lunar environments and extreme operational conditions stochastic optimisation frameworks for mission-critical decision-making under uncertainty Research areas and technical
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Job Reference: 1122969 About the Role: You’ll be joining an exciting ARC-funded research project developing cutting-edge computational methods to predict and understand the organic crystal