79 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "https:" PhD positions in Netherlands
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PhDs start. Project A: making computational antitrust accurate (one PhD position) This legal-track PhD will work on the legal framework for data access by competition agencies. The core question is
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visit the ESA website: https://www.esa.int Field(s) of activity/research for the traineeship As a Luxembourgish National Graduate Trainee, you will have the opportunity to: support the Spaceship and
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 2 months ago
high demand. You will be supervised by Dr Gabriele Liga ( https://www.tue.nl/en/research/researchers/gabriele-liga ) and Dr Yunus Can Gültekin at TU/e. You will carry out two research secondments: one
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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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under what conditions emotionally charged migration narratives are linked to political engagement? The project will combine multimodal social media analysis with survey experiments, and data-donation
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, coordinate data collection at Altrecht Center for Personality Disorders, and analyse longitudinal EMA data collected both during psychotherapy sessions and in daily life. You will collaborate with
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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