44 post-doc-computer-graphics PhD positions at University of Groningen in Netherlands
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Studies, History, 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
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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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care delivery. The PhD positions are embedded in the research programme OPERA of FEB’s Research Institute. The project will be supervised by a multidisciplinary team of researchers with a background in
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. The PhD position is embedded in the research programme Organizational Behaviour of FEB’s Research Institute. The project will be supervised by Prof. Gerben van der Vegt, Dr Stefan Berger, and Dr Joost van
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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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to be expected. A PhD training programme is part of the agreement. The desired starting date is January 2026. The position will be filled as soon as a qualified candidate has been found, so interested
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journalism’s recent past. Methodologically, the project employs a digital humanities approach, combining computational analyses of metajournalistic discourses with qualitative analyses of debates at critical
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check desired properties, with both academia and industry recognising its importance. Distribution is an integral part of innumerous computer systems, providing them with essential improvements to aspects
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item