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Field
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mining research focuses on analyzing abstract objects—often referred to as cases—as they move through a system. These objects generate events, which typically serve as the primary carriers of data
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duties and responsibilities include: computational (meta)genome mining and quantitative data analysis of biosynthetic and catabolic genes and clusters, pathogenicity genes and other functional genes
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datasets, our research focuses on developing algorithms and computational methods to detect patterns and generate insights. BDA blends a wide range of expertises, including bioinformatics, data mining, data
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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
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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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of these reductions by revealing large emission hot spots around the world, which are urgent mitigation targets. SRON has been at the forefront of this revolution by providing key data and analysis. SRON is the co
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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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closely related discipline). You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven
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following areas: Machine Learning, Deep Learning, Reinforcement Learning, Data Mining; Programming; Parallel programming and High-Performance; Computing; Scientific computing, Numerical methods, and Numerical
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data science, space science, life sciences, physical sciences, engineering, or another discipline relevant to human and robotic exploration; good ability to review, analyse and synthesise scientific