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Field
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projects. The five projects focus on the Just Transition of EU mining regions, specifically aiming to repurpose former coal mining sites for a sustainable future. Research context and focus: The core mission
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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conditions. Bioinformatics skills relevant to genomics-driven natural products discovery, including genome mining, biosynthetic gene cluster analysis, sequence alignment, and annotation. Strong quantitative
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, data mining, and modeling projects. Bring the most promising opportunities for the University to the attention of appropriate colleagues. Write confidential research documents on individual, corporate
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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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modeling on organizational data and data sets utilizing advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and
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decision-making, and collective action. The Postdoctoral Fellow will help extract relevant open-source information in a guided snowball data collection manner by leveraging cyber forensics and deep web
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, and collective action. The Postdoctoral Fellow will help extract relevant open-source information in a guided snowball data collection manner by leveraging cyber forensics and deep web search-based
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approaches and technologies (including text mining, coding, VR and data visualisation) across all subjects. This is an exciting opportunity to contribute to the University’s Education and Research strategies
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of several Master programs in Data Science. Furthermore, the group leads both educational innovations such as challenge-based learning as well as academic innovations in the process mining field. We