240 data "https:" "https:" "https:" "https:" "Dr" "Robert Gordon University" PhD positions in Netherlands
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medical center, who share an interest in intensive longitudinal data. This project will be supervised by Dr Erik Bijleveld in collaboration with Dr Fred Hasselman and Prof. Sabine Geurts. Faculty of Social
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(one of whom could be the supervisor of your thesis/final project) who we may contact for references For more information regarding the topic of position, you are welcome to contact prof. dr. Thomas
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Application deadline: 31 January 2026 Apply now Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata
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will be part of the research team of Dr. Martijn Kool. More information For more information, please contact Dr. Martijn Kool at M.Kool1@uu.nl . Do you have a question about the application procedure
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cooperation and coordination problems. What are the conditions for interorganizational collaboration to succeed? For further information: Birgul (Rose) Arslan Opens external . Idea management and innovation
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: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning
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PhD Position in Categorical Foundations of Type Theory Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 6
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obtain information about the norms and behaviour of others. A combination of agent-based modelling and experiments will be used to examine how people perceive social norms on climate change topics and how
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group boundaries. Data : Leveraging existing datasets (e.g., Statistics Netherlands [CBS] administrative microdata on employees linked to organizational surveys) and collecting original data (e.g
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philosophical approaches; Learn to derive hypotheses from deductive theoretical reasoning through formal methods on sociological phenomena; Develop strong skills in experimental methods, data analysis and