57 parallel-and-distributed-computing PhD scholarships at University of Groningen in Netherlands
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(https://www.rug.nl/research/gradschool-science-and-engineering/phd-programme/admission/criteria?lang=en ). Conditions of employment We offer, following the Collective Labour Agreement for Dutch
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? Organization The PhD position is embedded in the research programme Innovation & Organization of FEB’s Research Institute. The project will be supervised by Prof. Ulrike Schultze, Prof. David Langley, and a
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, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge across domains
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, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge across domains
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, International Relations, Language and Literary Studies, Linguistics and Media and Journalism Studies. Programme History is a large and dynamic department with a strong regional anchor and an international outlook
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to be 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. The preferred starting date is as soon
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year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be
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of Groningen (RUG), Utrecht (UU), Nijmegen (RU), and Amsterdam (UvA) cooperate. In addition to these sociology departments, the Utrecht research program ERCOMER and the research institute Radboud Social Cultural
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of the Open Competition Domain Science-M programme (Twenty-one innovative research projects awarded through Open Competition Domain Science-M programme | NWO - https://www.nwo.nl/en/news/twenty-one-innovative
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative