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Grant and coordinated by Principal Investigator (PI) dr. Arianna Bisazza. This is an interdisciplinary project at the intersection of Computational Linguistics/Natural Language Processing (NLP
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PhD in Low-Resource Natural Language Processing & Computational Modeling of Language Learning (1.0) (V24.0068) « Back to the overview Job description Applications are invited for a 4-year salaried
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Organisation Job description Applications are invited for a fully-funded 4-year PhD position in the field of Computational Linguistics, focusing on the relationship between narratives and
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the field of Computational Linguistics, focusing on the relationship between narratives and argumentation. This research project will focus on developing computational approaches to understand how narratives
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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 Prof
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Archaeology, Cultural Studies, History, International Relations, Language and Literary Studies, Art History, Linguistics, and Media and Journalism Studies. To be competitive for the position, prospective
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Archaeology, Cultural Studies, History, International Relations, Language and Literary Studies, Art History, Linguistics, and Media and Journalism Studies. To be competitive for the position, prospective
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, Cultural Studies, History, International Relations, Language and Literary Studies, Art History, Linguistics, and Media and Journalism Studies. To be competitive for the position, prospective candidates must
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PhD Investigating Modern Organizational Structures & Decision-Making through experimental approaches
The PhD position is embedded in the research programme Innovation & Organization of FEB’s Research Institute. We offer a truly international environment (our working language is English and we currently
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and a team player excellent grades creativity, determination and motivation. Experience in organic chemistry, automated systems and/or nucleic acids is a plus. Applicants whose first language is not