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the Netherlands and a second country that will be determined together with the PhD candidate based on scientific relevance, the candidate's interests and language skills. This project will apply a mixed methods
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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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collaborative and training activities hosted by the network partners. You will be based at Delft University of Technology and, as part of your PhD, you will be periodically seconded at industrial partners
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collaborative and training activities hosted by the network partners. You will be based at Delft University of Technology and, as part of your PhD, you will be periodically seconded at industrial partners
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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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/data can help to make the choices between priorities within cities and within neighbourhoods, bringing also the multi-scalar interdependencies of choices into focus. In this PhD, we aim to use urban
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create a corpus complying with rigorous research standards • apply NLP methods for the analysis of text • co-organize research meetings within the Center for Language and Cognition • contribute
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guiding their decisions? Apply now as a PhD candidate at the Radboud Institute for Culture & History (RICH)! We offer you the opportunity to develop and carry out your own PhD project within the areas
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theory to analyse the cinematic and rhetorical techniques, as well as the use of mediation, remediation, testimony, data, and evidence in these films. The PhD will furthermore explore the place of
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Irène Curie Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7466 Job description As a PhD-TA candidate, you will work on new distributed algorithms for large