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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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metals have high production costs because they are low in abundance (requiring high volumes of ore to be mined, often in regions of political instability) and typically come with extensive purification
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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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infrastructure over time, under different scenarios. Expected Results: 1) Development of geometric deep learning, time-series data mining, and agent-based approaches incorporating microbial information for DWDSs
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of the Department’s activities in the field of Business Analytics. We welcome discussions with prospective candidates who have interests in specified areas of business analytics such as data mining, machine learning
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Position Details Position Information Position Type Professional Staff Faculty Track Position Title Senior Research Associate Employment Status Full Time Months 12 Campus Biddeford, ME Description
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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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be based in the Department of Computer Science and the National Centre for Text Mining. Develop biomedical NLP methods for mechanism extraction Design and implement methods for extracting biomedical
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experience. Expertise in any of the following topics would be particularly welcome: statistics, data mining, machine learning, stochastic modelling, forecasting, simulation. Applications are by letter of
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hypothalamic cell development Perform data mining of chick scRNA-seq datasets Participate in weekly project team meetings and attend relevant research seminars, including presentation of own research data