17 phd-data-mining Postdoctoral research jobs at University of Groningen in Netherlands
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29 Sep 2025 Job Information Organisation/Company University of Groningen Department Faculty of Arts Research Field Language sciences » Linguistics Researcher Profile Recognised Researcher (R2
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sciences in our research. Qualifications The successful candidate has a PhD degree in (Historical) Demography or a related discipline (sociology, geography, economics). Expertise with register data
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The successful candidate has a PhD degree in (Historical) Demography or a related discipline (sociology, geography, economics). Expertise with register data, statistical methods of analysis, and GIS are required
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techniques to enhance MT use, thus improving the translator's working environment and job sustainability, as well as the user experience. To better understand this complex process, INCREC triangulates data
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coordinator and 3 PhDs. The postdoc will work in the Netherlands (Groningen) but might spend a brief amount of time in Spain for fieldwork (to collect data). The Postdoc Project You will work individually on
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19 Sep 2025 Job Information Organisation/Company University of Groningen Research Field Biological sciences » Biology Medical sciences » Medicine Neurosciences » Neurobiology Researcher Profile
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. Qualifications We are looking for candidates who meet the following requirements: a PhD degree in molecular biology, cell biology, neuroscience, pharmaceutical sciences, or a related discipline demonstrated
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across domains. 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
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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across domains. 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