51 computer-science-data-warehouse PhD positions at University of Groningen in Netherlands
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Organisation Job description We are seeking a candidate for a PhD project on the philosophical aspects of data science and data science use, with specific attention for the use of data science
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consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together
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for Energy Business and Economics Research (CEnBER - https://www.rug.nl/cenber/ ) and in the research programme Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by
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21 Aug 2025 Job Information Organisation/Company University of Groningen Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage Researcher (R1
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26 Aug 2025 Job Information Organisation/Company University of Groningen Research Field Juridical sciences » European law Juridical sciences » Informatic law Researcher Profile First Stage
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technologies and manufacture processes with emphasis on mechanical and materials engineering. For more information about the APE group please use the following link: www.rug.nl/research/ape. Qualifications
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the NGF-Call AiNed ELSA Labs). The ELSA4TI Lab is led by Prof Ming Cao, Director of the Jantina Tammes School of Digital Society, Technology and AI. ELSA4TI focuses on the ethical, legal, social and
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the Faculty of Science and Engineering, a 4-year PhD position is available to start as soon as possible at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic
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The successful candidate should have: Master’s degree in Industrial Engineering and Management, Mechanical Engineering, Energy Systems, Control Engineering, Data Science, or a related field, with solid foundations
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more