81 linked-data "https:" "https:" "https:" "https:" "https:" "OSU" PhD positions in Netherlands
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Apply now Why do some people develop gambling-related harm while others, despite similar experiences and circumstances, do not? In this ZonMw-funded PhD project, you will use longitudinal panel data and
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Dutch. Cookies We use cookies and similar technologies to process your personal data (e.g. IP address) for personalised content, ads and third-party media integrations. Functional and strictly
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€ 3,706 - € 5,760 Deadline 19 Oct 2026 This vacancy is only available in Dutch. Click here to view the vacancy in Dutch. Cookies We use cookies and similar technologies to process your personal data
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the vacancy in Dutch. Cookies We use cookies and similar technologies to process your personal data (e.g. IP address) for personalised content, ads and third-party media integrations. Functional and
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Dutch. Cookies We use cookies and similar technologies to process your personal data (e.g. IP address) for personalised content, ads and third-party media integrations. Functional and strictly
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, physiology and disease development after infection with Phytophthora or Ralstonia . You will combine these phenotyping data with bacterial and fungal microbiome profiles to build predictive models of
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-owned enterprises and private undertakings. This interdisciplinary project follows a mixed methods approach, combining doctrinal legal research with data-driven, experimental and qualitative methods
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University of Amsterdam (UvA) | Amsterdam, Provincie Noord-Holland | Netherlands | about 2 months ago
within GRID, resulting in a PhD thesis. Collect and analyse quantitative and qualitative data, and co-author publications. Present at international conferences and take active part in the team and
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of Twente, you will investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling and data analysis. You will design, build and
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data. For this, we will study the model class of linear non-Hüsler–Reiss acyclic models and their generalization that includes latent variables. Our proposal will fill a critical gap in statistical