29 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at Utrecht University in Netherlands
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with large spatial and temporal datasets. You must have: An MSc in Earth sciences, hydrology, civil engineering, environmental science, or a related field. A collaborative mindset and an interest in
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, K) analyses. This PhD project is part of the ‘SILICYCLE’ grant, awarded to Dr Sonja Geilert under the Vidi scheme of the Dutch Research Council (NWO). A personalised training programme will be set up
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Economics Section of the Utrecht University School of Economics. We offer courses within the broad Bachelor’s programme Economics & Business Economics, a double Bachelor’s programme in Economics and
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, Computer science, Ontology engineering, Computational geoscience, AI and NLP, or a related field; a strong interest in conceptual modelling, semantic modelling, ontology engineering, formal logics or cognitive
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knowledge and technology. To apply, please send your curriculum vitae, including a letter of motivation, via the ‘apply now’ button. The application deadline is 8 February 2026. Apply now
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technology providers. Above all, solutions must be affordable, acceptable, and locally appropriate. The project addresses key knowledge gaps in citizen engagement, governance and technology. The consortium
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do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. To apply, please send the following documents via the ‘apply now’ button: a motivation letter (max 2
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, to prevent the unwanted transfer of sensitive knowledge and technology. To apply, please send the following documents via the ‘apply now’ button: a motivation letter (max 2 pages), explaining your interest in
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PhD Position in AI and Data Science for Modelling and Analyzing Reading Text Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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deadline: 18 January 2026 Apply now Within the RegioDeal Foodvalley (RDFV-II) programme, you will contribute to advanced analyses of air quality monitoring data, emission modelling and scenario studies