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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 21 days ago
markets and social platforms using ML, game theory, and computational economics. We welcome applicants with diverse skills and research methodologies. To enquire about this opportunity, please contact About
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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Discovery, Development Sciences, and Aesthetics which includes fields such as chemistry, biology, pharmaceutical science, and computational information sciences. This enriching training program offers a
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based in the School of Chemistry, University of Nottingham in the group of Dr Katherine Inzani. Candidates should hold a PhD (or close to completion) in materials science, chemistry, physics or similar
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School of Earth Sciences Join a transformative national initiative to modernise geochemical data infrastructure across the country, with opportunity for novel research in geochemistry Full-time
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
Design, working in close collaboration with the School of Engineering, the Fenner School of Environment and Society, and the ANU Institute for Climate, Energy and Disaster Solutions. Funded by
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engineering, statistics, and bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications