95 assistant-and-professor-and-computer-and-science-and-data positions at University of Groningen
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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The Groningen Institute for Evolutionary Life Sciences (GELIFES - https://www.rug.nl/research/gelifes/ ) offers a 4-year M20 Program funded PhD position for a project on “Multi-dimensional
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, Linguistics and Media and Journalism Studies. For this role, we are looking for someone who: Has a PhD degree in any area related to the tasks (e.g. Computer Science, Digital Humanities, or Information Science
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, also in relation to specific computer hard- and software. Monitoring and updating hardware/software for observational education. Staying up to date with programming and observational methods in
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expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering and in the Research School for Behavioral and
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The Faculty of Spatial Sciences is looking to appoint a postdoctoral researcher on the topic of regional innovation systems. The main responsibility will be to initiate and perform research
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research in the field of biomolecular sciences. Twelve vibrant research groups with strong roots in biophysics, biochemistry & molecular biology, cell biology, chemistry, computational biology, microbiology
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modelling. experience with computational methods in social sciences. experience with spatial and regional data. experience with handling large datasets. experience with the use of social survey microdata