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drainage, cultivation, and mining. As these areas constitute major sources of carbon dioxide emissions, accurate mapping is crucial for their effective restoration and management. Peatlands are highly
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drainage, cultivation, and mining. As these areas constitute major sources of carbon dioxide emissions, accurate mapping is crucial for their effective restoration and management. Peatlands are highly
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magnets today contain rare-earth metals, which are associated with uncertain supply chains, pollution due to mining, and geopolitical issues. Therefore, research on alternative rare-earth-free magnets is a
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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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interest in sustainable energy Quantitative skills and experience with data mining and handling big datasets Excellent communication skills, both in writing and oral presentation Open-minded team player
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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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combination of robotics-assisted experiments and data mining in our 30 years of legacy data regarding the safety, metabolomics, and physiology of the strains. The UPCYFUN project is a unique opportunity for you