13 scientific-computing Postdoctoral positions at University of Groningen in Netherlands
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Netherlands Application Deadline 15 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 32.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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, Language and Literary Studies, Linguistics and Media and Journalism Studies. Program The Chair Group of Economic and Social History (https://www.rug.nl/research/research-let/onderzoek-per-vakgebied
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any area related to the project (e.g. Translation Studies, Digital Humanities, Linguistics, Literary Studies, Information Science, Computer Science, Cognitive Science/Psychology). Experience using eye
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Founded in 1614, the University of Groningen (The Netherlands
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related to the project (e.g. Translation Studies, Digital Humanities, Linguistics, Literary Studies, Information Science, Computer Science, Cognitive Science/Psychology). Experience using eye-tracking as
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, Information Science, Computer Science, Cognitive Science/Psychology). - Experience using eye-tracking as part of experimental research. - Experience with quantitative/qualitative methods (statistical methods and
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undergraduate students. We focus on high quality teaching and research in the fields of human and economic geography, demography, and spatial planning. Our research program is titled TRACE (TRAnsformations
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researcher position (32 months). This position is part of the project “HyTROS – Hydrogen Transport, Offshore and Storage”, funded by the Netherlands Organisation for Scientific Research (NWO) programme
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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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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