80 data-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" PhD positions in Netherlands
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services (approximately six months). Candidates are also expected to spend a small number of hours on teaching duties. For more information about the PhD trajectory in general, please contact Suzanne van de
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employment on 1 September 2026. We can imagine you're curious about our application procedure . It describes what you can expect during the application procedure and how we handle your personal data and
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and pro-social tendencies, building on existing validated scales. This “Civic Engagement tool” will have the form of a serious game, whereby data collection is embedded within the gameplay itself. Your
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) Education and Student Affairs (E&S) Erasmus Digitalisation and Information Services (EDIS) Real Estate & Facilities (RE&F) Engagement & Research Services (ERS) Marketing & Communications (M&C) RSM BV
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, startup acquisition, and startup wage setting. The PhD project will be primarily empirical, with a focus on applying modern micro-econometric methods to large scale datasets such as administrative data
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the application procedure and how we handle your personal data and internal and external candidates. Apply now Application deadline 08 March 2026 We would like to recruit our new colleague ourselves. Acquisition in
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. Supervision of the PhD position is in collaboration with Delft University of Technology. Information and application Are you interested in this position? Please send your application via the 'Apply now' button
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data that covers multiple CCs. Collaborate with other PhD researchers within the ECCO (Empowering Citizen Collectives) consortium, which brings together 11 PhD projects across Dutch universities. Work
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towards a new conceptual model that explains the individual dynamics of fatigue. The project will start with an analysis of already-collected data. You will use several forms of time series analysis
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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