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Fellowship research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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, Computer Science, Machine Learning, Artificial Intelligence, Engineering, Mathematics, Operations Research, Economics, Finance, or a closely related subject. Preference will be given to candidates with strong
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) in Psychology, Cognitive Science, Computational Linguistics, Linguistics, Computer Science, or a related field. Strong quantitative, statistical, or computational programming skills (e.g., R, Python
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in the project, you will work with an international collaboration network including Prof. Junichi Yamagishi at the National Institute of Informatics in Japan, Prof. Xavier Serra at Universitat Pompeu
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, History, Sociology, Anthropology, Philosophy, Computer Science, and Science and Technology Studies. Their proposed research will address one or more of the Thematic Programmes and Clusters of the LCAL, as
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. Demonstrated interest in the physics of sea ice and computational modelling of ice will be considered as an advantage. Suitable backgrounds include solid mechanics, mechanical engineering, computational
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (or near completion) in a relevant subject area (including Computer Science, Engineering
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The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on advanced solid oxide fuel cell (SOFC) modelling, three-dimensional
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for Oral Clinical Research (COCR). They will also promote research, enhance the profile of Barts Life Sciences, and provide advice, documentation, and training in data analysis for colleagues. About You The