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for mining, classifying, and forecasting from heterogeneous data sources Spatial-temporal statistics/modelling from heterogeneous data (Bayesian hierarchical models, autoregressive models, random fields
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About us The Department of Informatics is looking to recruit a Postdoctoral Research Associate to work on data mining, in the context of a project funded by Leverhulme Trust, in the Department
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at least one of the following (Autonomic Intelligent Systems, Data Mining, Machine Learning, Semantic Web, Software Development, Web & Network Services) To apply for this role, please click on the 'Apply
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data mining for challenging physics datasets. It will also advance the machine learning and AI methods needed for this work, including the treatment of uncertainty, physical structure, robustness and
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to research on composite hydrogen tanks, mine counter-measure drones and snap fit joints in constructions. All positions have a duration of 4 years and are fully funded (projects already granted). All research