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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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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
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studies, is essential for the position. Knowledge on AI technologies, and experience with quantitative and computational research methods, such as data mining and other digital humanities methods, is an
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. The following qualifications will be an advantage in the assessment: Strong background and interest in pursuing a research career in sustainable energy Quantitative skills and experience with data mining and
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skills and experience with data mining and handling big datasets Programming, modeling and numerical optimization skills Understanding of European electricity markets Excellent communication skills, both