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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
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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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Assistant (tenure-track) and Associate Professor positions in Data Science at the Department of M...
are not limited to, database systems, data mining, machine learning, NLP, computer vision, explainable AI, and optimization. SDU Centre for Computer Science and Artificial Intelligence The aim of the centre
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record within data science. Examples of interesting research areas include, but are not limited to, database systems, data mining, machine learning, NLP, computer vision, explainable AI, and optimization