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machine learning is advantageous Interest in data mining and database management Programming skills e.g. in R or Python Good analytical and communication skills. Proficiency in written and spoken English is
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Statistics section The members of the Data Science and Statistics section cover a wide range of data science topics. Central research interests are data mining and data visualization, machine learning and
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, which are associated with uncertain supply chains, pollution due to mining, and geopolitical issues. Therefore, research on alternative rare-earth-free magnets is a top priority and paramount for green
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are associated with uncertain supply chains, pollution due to mining, and geopolitical issues. Therefore, research on alternative rare-earth-free magnets is a top priority and paramount for green and sustainable
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in data mining and analysis of long-term datasets from GEM and ICOS, combined with supplementary measurements as needed. The dataset includes comprehensive records of carbon flux, micrometeorological
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candidate will engage in data mining and analysis of long-term datasets from GEM and ICOS, combined with supplementary measurements as needed. The dataset includes comprehensive records of carbon flux
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be joining a team of 12 PhDs, along with their supervisors in the MSCA Doctoral Network AWETRAIN project. 3 of the positions will be located in Roskilde. More information on AWETRAIN is located here