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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day 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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THE UNIVERSITY OF LIVERPOOL FACULTY OF SCIENCE AND ENGINEERING (SCE) SCHOOL OF PHYSICAL SCIENCES DEPARTMENT OF CHEMISTRY RESEARCH FELLOW IN ARTIFICIAL INTELLIGENCE FOR MATERIALS DISCOVERY (AICHEMY
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. The employment period will be three years of full time with no teaching obligations, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD program in technology within three
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department Research | Auxier Parental perinatal engagement | School of Nursing | Faculty of Applied Science (Jenny
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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, teaching and research relating to ethical and legal aspects of healthcare and biomedical sciences. We are responsible for the development and delivery of the Health Ethics, Law and Professionalism programme
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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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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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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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treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible