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Field
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spectrometry-based metabolomics datasets, with discovery of unknown metabolites being a major focus. The laboratory is engaged in several metabolite discovery campaigns involving mining of large-scale
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cheminformatics or polymer informatics, molecular representations, descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion, interpretable machine learning, NLP, text mining
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of enabling environments and CS&SE practices. Applying data-driven scientometric methodologies to mine existing open scientific databases (OpenAlex, Crossref, ORCID, OpenAIRE, DANS, DataCite, NWO Dataportaal
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of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc students