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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 29 days ago
click here . ANU is a large, diverse employer with staff working across numerous professions (see the full list of available roles here . We are a recipient of the bronze award through the Science in
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DNA (eDNA) technologies. The Centre develops innovative laboratory and computational methods for eDNA collection, processing, and analysis, and creates a comprehensive marine vertebrate genome reference
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evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
) Country Australia Application Deadline 24 Nov 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
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develops innovative laboratory and computational methods for eDNA collection, processing, and analysis, and creates a comprehensive marine vertebrate genome reference library. Equipped with state-of-the-art
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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 will be
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great fit if: You are a passionate cognitive neuroscientist with a strong background in computational methods and brain imaging, demonstrating excellent research skills and the ability to collaborate in a
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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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methods. Assist with the supervision of research students in the research area where required. Liaise with national and international collaborators to ensure satisfactory project progression. Program
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, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate observations/models and from models