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with Dutch language, such as the Netherlands, Flemish Belgium, Indonesia, South Africa, Suriname, and the Caribbean Islands. The PhD project has an interdisciplinary character in the sense that it
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field of language and culture. Located in the heart of Amsterdam, the faculty maintains close ties with many cultural institutes in the capital city. Research and teaching staff focus on interdisciplinary
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study or work experience is considered advantageous. A good command of the Dutch language or another EU language. Willingness to learn Dutch or to improve your Dutch language skills are also considered
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PhD Investigating Modern Organizational Structures & Decision-Making through experimental approaches
truly international environment (our working language is English and we currently employ more than 15 different nationalities). The project will be supervised by Dr. Marco Kleine, Dr. Pasi Kuusela, and
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. For many, strengthening their language skills was vital to fully participate in city life, with London and Antwerp standing out as the stage for this evolution of multilingualism because of the high degrees
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looks at classical texts in their contemporary context combining narratological, linguistic and intertextual approaches. The overarching research theme of the group is currently “style”. It is the central
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their contemporary context combining narratological, linguistic and intertextual approaches. The overarching research theme of the group is currently “style”. It is the central topic of an ongoing seminar series and a
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language or another EU language. Willingness to learn Dutch or to improve your Dutch language skills are also considered advantageous. Sufficient knowledge of an additional EU language to carry out research
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Are you looking for a PhD position in a dynamic setting? Do you want to execute philosophy of science research informed by and engaging scientific practices? The Institute for Logic, Language and
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of the vertices in multi-dimensional space for machine learning tasks. Policy evaluation is widely used in reinforcement learning, for instance, for training large language models. Your challenge is to develop