84 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CSIC" PhD positions in Netherlands
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longitudinal data on PhD recipients with complementary sources such as publication and patent data, and aims to enrich these with other sources on individual paths and preferences. The PhD candidate will
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improve treatment outcomes for people with TB by combining clinical research, translational approaches, and secondary analyses of existing data. The candidate will have the opportunity to contribute to a
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characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction
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comparative secondary analysis with original cross-national data collection. First, you will link data from the European Social Survey with MIPEX indicators to examine whether cross-national variation in
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architectures to identify and track polysemous senses in historical corpora. applying the framework to English (COCA/COHA), Dutch (Delpher), and Spanish (RAE) data to automatically detect synonyms and measure
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. More specifically, you will work on an open, explainable, and GeoAI-supported framework for the temporal integration of Earth system models with observational data from our spatially distributed
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scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes, resulting in inconsistencies across soil properties and underperformance in data
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will study how children select into contexts and how different contexts affect educational outcomes and inequality, using Dutch register data, quasi-experimental designs, and simulation methods. Your
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, strong problem-solving and analytical skills. Able to do independent research and field data collection. Interested in cross-disciplinary research. Experience with at least one of the fields of
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monitoring technologies based on a digital twin . The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its