17 big-data-clustering-phd Postdoctoral positions 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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of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences
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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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, or a publication). A copy of PhD certificate (or proof for the submission and approval of the manuscript) and list of grades. Contact information of two academic referees. You may apply
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planning and control concepts to organize customization in secondary education. A large groups of schools and other external partners provide the opportunity for interfacing research and implementation
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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