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supervision from the project PI (Eftychia Stamkou) and collaborators, with regular feedback on theory, study design, analysis, academic writing, and career development. You will join a strong network of
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analysis with spatial data to assess cascading supply chain risks and other systemic effects, supported where relevant by system dynamics modelling. Second, the PhD candidate will develop models to assess
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deadline: 17 March 2026 Apply now University School of Economics offers a fully funded PhD on the economic aspects of water-resilient landscapes. The project develops a comprehensive economic analysis of
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physics, statistical inference, population genetics, or closely related quantitative modeling; you have solid programming skills and experience with data analysis and reproducible computational workflows
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, population genetics, or closely related quantitative modeling; you have solid programming skills and experience with data analysis and reproducible computational workflows; you are interested in connecting
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, biomimetic biomaterials, relevant cell types (stem cells, musculoskeletal cells, endothelial cells, or immune cells), molecular and cellular analysis techniques, or bioimaging is considered a strong asset
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analysis is highly desirable. Experience with Earth observation or remote sensing data is a strong plus. Proficiency in programming in Python and experience with PyTorch, Scikit-Learn, or related modern
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group in Utrecht University, which focuses on multimodal computer analysis of human behaviour. As a PhD candidate, you will be part of a vibrant inter- and transdisciplinary research community
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Wageningen University & Research Comparative developmental analysis of executive functions and social behavior in rats Eline Vansina Amsterdam UMC Culture Conference (2026) Edwin van Leeuwen Utrecht University
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analyse both existing panel data and newly collected survey data (e.g. with multilevel regression and longitudinal panel analysis). We will refine existing network measures to better capture inherited