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Conventional metal mining, in which minerals are physically extracted from the subsurface and then processed to recover target metals (which often make up only a small fraction of the total mass) is
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aims to quantify how the superficial geology, bedrock aquifers and mine systems of Gateshead and Newcastle influences groundwater flood risk and water contamination. For further information
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competitive salary and will follow the PhD study program at the Faculty of Science . Candidate Profile An ideal candidate has a background in/or experience with one or more of the following topics: Data Mining
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: Data Mining Machine Learning Bioinformatics The successful candidate will contribute to advancing state-of-the-art in data mining and machine learning research with applications in computational biology
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rate). Additional project costs will also be provided. Overview The North East has a proud coal mining heritage, with hundreds of abandoned and flooded mine seams. Current groundwater levels
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, Section 7 of the Higher Education Ordinance. Scope of employment: 100% For further information about the position, please contact: Prof. Subhrakanti Dey, subhrakanti.dey@angstrom.uu.se Prof. Anders Ahlén
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Enquiries Prof. Thunyaluk Pojtanabuntoeng Further Information This scholarship is part of a strategic project in support of the long standing partnership between Woodside, Chevron, and Curtin University
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/10.17605/OSF.IO/4NZSW Opens external Puha, Z., Kaptein, M., & Lemmens, A. (2020). Batch mode active learning for individual treatment effect estimation. IEEE International Conference on Data Mining
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generalizability, reliability, and robustness. Prof. Li has authored over 40 papers in top-tier AI and machine learning conferences and journals. Ranked among the Top 50 researchers in “Spatiotemporal Data Mining
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link