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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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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
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Tenure-track Assistant and Associate Professorship positions in Algorithms at the Department of M...
Statistics , focusing on data science (data mining, data visualization, digital humanities), machine learning and artificial intelligence (deep learning, natural language processing, reinforcement learning
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Assistant (tenure-track) and Associate Professor positions in Computer Science with focus on Arti...
(data mining, data visualization, digital humanities), machine learning and artificial intelligence (deep learning, natural language processing, reinforcement learning, multi-agent systems, MLOps
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, optimisation, and post-quantum and embedded cryptography. Data Science and Statistics , focusing on data science (data mining, data visualization, digital humanities), machine learning and artificial
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cheminformatics, differential privacy and cryptography. Data Science and Statistics , focusing on data science (data mining, data visualization, digital humanities), machine learning and artificial intelligence