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recruitment, metabolite-mediated interactions, pathogenicity and disease resistance. This will involve using and further adapting state-of-the-art genome mining approaches, including biosynthetic gene cluster
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of inadequate data-mining tools we have, aiming to derive information from the continuous stream of data about the present and the past. This will help citizens and other regular users, heritage curators and
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data. It brings together AI researchers and Digital Humanities scholars to seek solutions to the problem of inadequate data-mining tools we have, aiming to derive information from the continuous stream
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, surveys, or co-creation workshops. Familiarity with quantitative research methodologies (e.g., mining software repositories) is an advantage but not mandatory. A team player who enjoys coaching PhD and
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, surveys, or co-creation workshops. Familiarity with quantitative research methodologies (e.g., mining software repositories) is an advantage but not mandatory. A team player who enjoys coaching PhD and
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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